{ "evaluation_id": "EVAL-20260402-124253", "question_id": "CODE-008", "question_text": "Implement a production-ready API rate limiter with the following requirements:\n1. Token bucket algorithm\n2. Support for different rate limits per API key\n3. Redis backend for distributed systems\n4. Graceful degradation when Redis is unavailable\n5. Proper async support\n6. Comprehensive logging\n\nInclude the main class, Redis integration, and a FastAPI middleware example.", "category": "code", "timestamp": "2026-03-03T00:00:00.000Z", "display_date": "Mar 03, 2026", "winner": { "name": "Gemini 3 Flash Preview", "provider": "Google", "score": 8.28 }, "avg_score": 6.696, "matrix_size": 87, "models_used": [ { "id": "mimo_v2_flash", "name": "MiMo-V2-Flash", "provider": "Xiaomi" }, { "id": "grok_420", "name": "Grok 4.20", "provider": "openrouter" }, { "id": "deepseek_v4", "name": "DeepSeek V4", "provider": "openrouter" }, { "id": "gpt_oss_120b", "name": "GPT-OSS-120B", "provider": "OpenAI" }, { "id": "gpt_5_4", "name": "GPT-5.4", "provider": "openrouter" }, { "id": "gemini_31_pro", "name": "Gemini 3.1 Pro", "provider": "openrouter" }, { "id": "minimax_m25", "name": "MiniMax M2.5", "provider": "openrouter" }, { "id": "claude_sonnet_46", "name": "Claude Sonnet 4.6", "provider": "openrouter" }, { "id": "gemini_3_flash", "name": "Gemini 3 Flash Preview", "provider": "Google" }, { "id": "claude_opus_46", "name": "Claude Opus 4.6", "provider": "openrouter" } ], "rankings": { "gemini_3_flash": { "display_name": "Gemini 3 Flash Preview", "provider": "Google", "average_score": 8.28, "score_count": 8, "min_score": 7.45, "max_score": 9.35, "rank": 1 }, "grok_420": { "display_name": "Grok 4.20", "provider": "openrouter", "average_score": 7.94, "score_count": 8, "min_score": 5.4, "max_score": 9.35, "rank": 2 }, "gpt_5_4": { "display_name": "GPT-5.4", "provider": "openrouter", "average_score": 7.71, "score_count": 9, "min_score": 5.65, "max_score": 9.6, "rank": 3 }, "mimo_v2_flash": { "display_name": "MiMo-V2-Flash", "provider": "Xiaomi", "average_score": 7.44, "score_count": 9, "min_score": 5.2, "max_score": 9, "rank": 4 }, "claude_opus_46": { "display_name": "Claude Opus 4.6", "provider": "openrouter", "average_score": 7, "score_count": 9, "min_score": 3.7, "max_score": 9.6, "rank": 5 }, "gpt_oss_120b": { "display_name": "GPT-OSS-120B", "provider": "OpenAI", "average_score": 6.87, "score_count": 9, "min_score": 3.05, "max_score": 9.2, "rank": 6 }, "claude_sonnet_46": { "display_name": "Claude Sonnet 4.6", "provider": "openrouter", "average_score": 6.82, "score_count": 8, "min_score": 4.05, "max_score": 8.8, "rank": 7 }, "deepseek_v4": { "display_name": "DeepSeek V4", "provider": "openrouter", "average_score": 6.81, "score_count": 9, "min_score": 4.8, "max_score": 9.15, "rank": 8 }, "minimax_m25": { "display_name": "MiniMax M2.5", "provider": "openrouter", "average_score": 4.97, "score_count": 9, "min_score": 2.85, "max_score": 7.6, "rank": 9 }, "gemini_31_pro": { "display_name": "Gemini 3.1 Pro", "provider": "openrouter", "average_score": 3.12, "score_count": 9, "min_score": 0.85, "max_score": 8.4, "rank": 10 } }, "judgments": [ { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 5.2, "brief_justification": "Covers the requested components conceptually, but the implementation is incomplete and contains important production issues: truncated main app, middleware calls the downstream handler before enforcing 429, Redis script loading/usage is inconsistent, health recovery is missing, and per-key limits are hardcoded rather than robustly supported." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 9.35, "brief_justification": "The implementation is high-quality and production-ready. It correctly uses a Lua script for Redis atomicity, provides a robust local fallback for graceful degradation, and includes a well-structured FastAPI middleware. The code is clean, well-documented, and follows best practices for async Python." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 9.15, "brief_justification": "The implementation is robust and directly addresses all requirements. It includes a sophisticated Redis pipeline for atomicity, a solid local fallback mechanism, and a well-structured FastAPI middleware. The use of async/await and proper logging makes it production-ready." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 8.8, "brief_justification": "The implementation is highly professional, featuring a robust Lua script for atomicity, Pydantic for validation, and a clear strategy for graceful degradation. The response was cut off at the very end of the class definition, but the core logic and requirements were already well-established." }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 7, "brief_justification": "The response demonstrates a well-structured, production-oriented rate limiter implementation covering most requirements: token bucket algorithm, per-API-key limits, Redis backend with Lua script for atomicity, in-memory fallback for graceful degradation, async support, and comprehensive logging. However, the code is truncated - it cuts off mid-way through the RateLimiter.check_rate_limit method, missing the completion of the graceful degradation logic, the FastAPI middleware example (though ment" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 0.85, "brief_justification": "The response is almost entirely empty. It describes what it intends to provide but only includes a pip install command. There is no actual implementation of the token bucket algorithm, no Redis integration, no FastAPI middleware, no logging, and no code of substance. It fails to address any of the six requirements in a meaningful way." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 7.05, "brief_justification": "The response is incomplete as the code for the RedisManager and the FastAPI middleware was cut off mid-sentence. While the provided configuration and the logic behind using Lua are correct, the lack of the actual implementation makes it non-functional." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 8.8, "brief_justification": "The implementation is highly professional, using an atomic Lua script for Redis which is the industry standard for token buckets. It includes proper async support and a clean configuration model. The response was cut off at the end of the RedisBackend class, missing the final middleware implementation, which slightly reduces completeness." }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 6.05, "brief_justification": "The response demonstrates strong architectural design with well-structured configuration, exceptions, and backend abstractions. The Lua script for atomic Redis operations is correct and well-designed. However, the implementation is critically incomplete - the RedisBackend class is cut off mid-method, and the core.py (main rate limiter class) and middleware.py (FastAPI middleware) files are entirely missing. These were explicitly requested in the question. The code that IS present is high quality" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 8, "brief_justification": "The implementation is well-structured and covers most requirements: token bucket algorithm via Lua script for atomicity, per-API-key rate limits, Redis backend, graceful degradation to in-memory fallback, async support, comprehensive logging, and FastAPI middleware with proper rate limit headers. Key issues: (1) the response is truncated at the end (the dependency function and likely the FastAPI app example are cut off), (2) per-key custom rate limit configs are supported in the consume() method" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 6.95, "brief_justification": "The implementation covers most requirements: token bucket algorithm, per-key configs, Redis backend, local fallback, async support, logging, and FastAPI middleware. However, there are correctness issues: the Redis pipeline usage is flawed—it reads with pipeline.execute() then tries to write in the same pipeline without proper WATCH/MULTI for true atomicity (a Lua script would be more appropriate for atomic token bucket operations). The response is also truncated, cutting off mid-exception handle" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 6.25, "brief_justification": "The response demonstrates strong architectural design and covers all required components conceptually (token bucket algorithm, per-key configs, Redis with Lua script, graceful degradation, async support, logging). However, the code is critically incomplete - it cuts off mid-function in rate_limiter.py, and the settings.py and fastapi_app.py sections are entirely missing. The Lua script and BucketConfig model are well-designed, and the overall structure is production-quality in approach. But sinc" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 7.8, "brief_justification": "The implementation is largely correct: the Lua script properly implements token bucket with atomic operations, graceful degradation is handled via fail-open, async is supported via redis.asyncio, and per-key limits are demonstrated. Minor issues: the Lua script passes refill_rate as a float but Lua's tonumber handles it fine; the expire TTL calculation assumes refill_rate > 0; logging is present but not 'comprehensive' (no structured logging, no metrics, minimal log points). Missing elements inc" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 3.7, "brief_justification": "The response is cut off mid-implementation, leaving the Lua script, the core rate limiter class, the FastAPI middleware, and the graceful degradation logic incomplete. While the architectural approach (Lua script for atomicity, Pydantic config, async Redis) is sound and well-explained, the actual code is severely incomplete - only the config and the beginning of the Redis storage module are provided. A production-ready implementation cannot be evaluated when most of the code is missing. The expl" }, { "judge_key": "claude_opus_46", "judge_name": "Claude Opus 4.6", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 6.6, "brief_justification": "The response demonstrates solid architectural understanding and covers most requirements (token bucket, Redis Lua script, async, graceful degradation, FastAPI middleware, per-key limits). However, there are significant issues: (1) The response is truncated - main.py is cut off, missing the lifespan management and app startup. (2) The middleware has a logic bug - it calls `call_next(request)` before checking if the request is allowed, meaning denied requests still get processed. (3) The Lua scrip" }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 6.95, "brief_justification": "The code is highly robust and well-designed, featuring atomic Lua scripts and async support, but the response cuts off before completing the fallback logic and completely omits the requested FastAPI middleware." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 5.4, "brief_justification": "The response cuts off prematurely, missing the main class, Redis integration, and FastAPI middleware. While the provided models and base classes are well-structured, the solution is incomplete." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 5.85, "brief_justification": "The response cuts off abruptly in the middle of the Redis backend implementation, missing the core class, FastAPI middleware, and fallback mechanisms, though the provided code is of high quality." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 8.25, "brief_justification": "The implementation is highly robust, featuring atomic Lua scripts and graceful degradation, but the response is truncated at the very end." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 4.85, "brief_justification": "" }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 5.85, "brief_justification": "The response starts strong with a well-designed Lua script and clear structure, but it cuts off mid-sentence and completely misses the requested FastAPI middleware and the rest of the class implementation." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 8.8, "brief_justification": "" }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 3.2, "brief_justification": "The response is severely truncated, cutting off in the middle of a Lua script. It fails to provide the requested FastAPI middleware, main class, graceful degradation, and logging due to the incomplete generation." }, { "judge_key": "gemini_31_pro", "judge_name": "Gemini 3.1 Pro", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 7.8, "brief_justification": "The response provides a well-architected solution with atomic Lua scripting and graceful degradation, but the code is cut off at the end, missing the final FastAPI application setup." }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.2, "brief_justification": "The implementation is well-structured and covers most requirements: token bucket algorithm, per-key limits, Redis backend with Lua script for atomicity, in-memory fallback, async support, and logging. The code appears to be cut off at the end (missing the fail_open logic completion, FastAPI middleware, and example usage), which reduces completeness. The Lua script approach for atomic Redis operations is a good production pattern. The dataclass-based configuration and separation of concerns are c" }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 9.6, "brief_justification": "The implementation is exceptionally high quality and production-ready. It uses a robust project structure, handles atomic operations correctly (implied by the interface design), and provides a sophisticated FastAPI middleware. The inclusion of graceful degradation and detailed models for headers shows deep understanding of real-world API requirements." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 3.05, "brief_justification": "The response is severely truncated. It provides an introduction and a pip install command but fails to provide any of the requested implementation code, classes, or middleware." }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 8.45, "brief_justification": "The response demonstrates strong architectural design with proper separation of concerns, well-documented models, and thoughtful abstractions. The token bucket implementation, Redis config, and graceful degradation concepts are correctly structured. However, the response appears truncated - missing the actual Redis backend implementation, memory backend, core rate limiter logic, FastAPI middleware, and tests that were promised. The foundation shown is production-quality with proper dataclasses, " }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 1.65, "brief_justification": "The response is severely incomplete - it only shows a pip install command and some introductory text without providing any actual implementation. The main class, Redis integration, FastAPI middleware, token bucket algorithm, logging, and all other required components are entirely missing. The response cuts off after the prerequisites section, making it essentially useless for the stated requirements." }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 8.35, "brief_justification": "Strong implementation covering all requirements: token bucket via Lua script for atomicity, per-key config support, Redis backend with graceful fallback, async throughout, and good logging. FastAPI middleware is well-structured with proper headers. Minor issues: the response is cut off at the dependency function, the local fallback lacks thread/async safety (no lock around _local_buckets mutation), and there's no example showing per-key rate limit configs in use. The Lua script logic is sound an" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 7.55, "brief_justification": "The implementation covers all required features: token bucket algorithm, per-key configs, Redis backend, graceful degradation, async support, and logging. The Redis pipeline usage has a subtle bug - it reads state outside a WATCH/transaction loop, making it non-atomic under concurrent access. The local fallback is reasonable but mutating redis_enabled globally could cause issues in distributed scenarios. The middleware is well-structured with identifier flexibility and proper response headers. C" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 7.2, "brief_justification": "The implementation demonstrates strong technical depth with correct token bucket algorithm, proper Lua script for atomic Redis operations, graceful degradation design, and async-first approach. The code structure is well-organized and clearly explained. However, the response is incomplete - it cuts off mid-implementation in the `_get_redis` method, missing the fallback logic, the `check_rate_limit` method, the in-memory fallback implementation, settings.py, and the FastAPI middleware example. De" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 8.6, "brief_justification": "Strong implementation with correct token bucket algorithm, atomic Lua scripting, proper async Redis usage, and graceful degradation. The FastAPI middleware integration is clean and practical. Minor gaps: no connection pooling configuration, no retry logic, the Lua script's expire calculation could be more robust, and logging could be more comprehensive (e.g., structured logging with request IDs). The tier-detection logic is simplistic but acknowledged as a demo. Overall production-ready with min" }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 5.65, "brief_justification": "The response starts well with good structure, proper use of Lua scripts for atomic operations, async Redis, and Pydantic settings. However, the response is clearly truncated mid-implementation - the Lua script is cut off, and the remaining components (FastAPI middleware, graceful degradation, logging, per-API-key support) are missing entirely. What exists is correct and well-explained, but the incomplete delivery significantly reduces completeness, usefulness, and overall value." }, { "judge_key": "claude_sonnet_46", "judge_name": "Claude Sonnet 4.6", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 7.4, "brief_justification": "The implementation covers all required components: token bucket algorithm, per-key rate limits, Redis backend with Lua scripts for atomicity, graceful degradation (fail-open), async support, and FastAPI middleware. However, there are notable issues: the middleware has a bug where `call_next` is called before checking if the request is allowed (meaning the handler executes even for rate-limited requests), the `_lua_script_sha` is set to `True` instead of the actual SHA, and the `evalsha` optimiza" }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.45, "brief_justification": "The implementation is highly accurate, well-structured, and covers nearly all requirements with production-grade details like Lua script, async locks, logging, and FastAPI middleware. Minor deduction for incomplete code snippet at the end (truncated error handler and missing middleware class), but core functionality is robust." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 7.4, "brief_justification": "Provides a well-structured, comprehensive implementation with good models, policies, and graceful degradation. However, the core.py with the main RateLimiter class is missing, Redis backend implementation is incomplete (only base shown), and the FastAPI middleware example is absent, reducing completeness and usefulness." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 3.6, "brief_justification": "The response is incomplete as it only provides prerequisites and a partial introduction without implementing any of the required components like the Token Bucket class, Redis integration, Lua script, fallback logic, or FastAPI middleware. It fails to fulfill the core request." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 6.6, "brief_justification": "The implementation covers most requirements with token bucket, Redis, fallback, and middleware, but has bugs in Redis pipeline usage (incorrect execute handling), incomplete error logging, and simplistic local cache that isn't truly distributed-safe. Code is mostly clear but could be deeper in edge cases and atomicity." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 6.4, "brief_justification": "The implementation is mostly correct and clear with good depth on token bucket and Redis Lua script, but the code is incomplete (cuts off mid-assignment and lacks middleware), has some issues like missing async locks in fallback and potential race conditions, and doesn't fully demonstrate the FastAPI middleware as requested." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 7.8, "brief_justification": "Solid implementation of token bucket with Redis, Lua for atomicity, graceful degradation, and FastAPI middleware. Minor issues: time.time() should be monotonic, refill_rate units are inconsistent in comments vs code, logging could be more comprehensive, and async Redis setup lacks proper initialization." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 5.85, "brief_justification": "Implementation is partially correct with good structure and Lua script intent, but the provided code is incomplete (truncated Lua script, missing core classes/middleware), lacks async support details, logging, and full graceful degradation logic." }, { "judge_key": "grok_420", "judge_name": "Grok 4.20", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 6.6, "brief_justification": "Solid structure and good coverage of requirements with async, Redis Lua, and middleware. However, has bugs: incorrect Lua script handling (eval vs evalsha, missing SHA), incomplete remaining tokens logic, middleware response ordering issue (calls next before checking limit), missing connect() call in main, and truncated main.py. Logging is basic rather than comprehensive (e.g. no structlog)." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.6, "brief_justification": "Well-structured implementation with good coverage of requirements." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 8.6, "brief_justification": "Comprehensive implementation with clear structure and good attention to requirements." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 8.4, "brief_justification": "Accurate and detailed with good practical implementation." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 8.8, "brief_justification": "Comprehensive implementation with clear structure and good depth, though RedisBackend implementation is incomplete." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 8.8, "brief_justification": "Comprehensive implementation with Redis fallback and FastAPI middleware." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 9.2, "brief_justification": "Highly accurate and thorough with excellent depth and practical implementation." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 7.6, "brief_justification": "The response provides a solid foundation for a rate limiter with Redis, but lacks complete implementation details and error handling." }, { "judge_key": "deepseek_v4", "judge_name": "DeepSeek V4", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 9, "brief_justification": "Comprehensive and well-structured implementation covering all requirements with clear explanations and practical examples." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 5.65, "brief_justification": "The code correctly implements token bucket logic with async Redis and in-memory fallback, and includes logging, but it is incomplete—missing fallback handling after Redis errors, the FastAPI middleware example, and final return statements, reducing overall completeness and practical usefulness." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 5.1, "brief_justification": "The answer provides well‑structured snippets and correct concepts, but omits the full Redis backend, main rate‑limiter class, degradation logic, and FastAPI middleware, limiting its practical utility." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 2.4, "brief_justification": "Response is incomplete, missing core implementation and examples; only introductory text provided, limiting its correctness and practical usefulness." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 5.85, "brief_justification": "The response provides well-structured, mostly correct token bucket logic and Redis integration, but omits the main rate limiter class, FastAPI middleware example, and full graceful degradation handling, limiting its completeness and practical usefulness." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 7, "brief_justification": "The answer provides a solid async token‑bucket implementation with Redis fallback and middleware, but the code is incomplete (truncated dependency, per‑key limits not fully wired) and lacks a full FastAPI example, limiting its production readiness." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 6.2, "brief_justification": "Implements core token bucket logic with Redis fallback and async support, but the answer is truncated, lacks a full FastAPI example, and has minor inaccuracies in error handling, reducing overall correctness and completeness." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 8.6, "brief_justification": "Accurate token bucket with Redis Lua, async, fail-open, and FastAPI middleware; covers all requirements with clear code, though logging could be richer and edge cases slightly more handled." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 5.65, "brief_justification": "The answer outlines key components and shows clear structure, but the implementation is incomplete and lacks full code for the token bucket logic, middleware, and graceful degradation handling, reducing correctness and usefulness." }, { "judge_key": "gpt_oss_120b", "judge_name": "GPT-OSS-120B", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 7.55, "brief_justification": "The answer presents a solid, well‑structured implementation covering most requirements, with clear explanations and useful code. Minor issues like incomplete main entry point, unused script SHA, and simplistic fallback handling reduce correctness and completeness." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 9.6, "brief_justification": "The implementation is exceptionally high quality. It uses Lua scripts for Redis atomicity, provides a robust in-memory fallback for graceful degradation, and includes a clean FastAPI middleware integration. The code follows production best practices including type hinting and structured logging." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 3.7, "brief_justification": "The response is well-structured and starts with sensible models/config, but it is incomplete and appears truncated before delivering the main class, Redis backend, graceful degradation logic, logging, or FastAPI middleware example. What is shown is mostly accurate, but it does not satisfy the requested implementation." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 1.65, "brief_justification": "The response is largely incomplete and does not implement the requested rate limiter. It only provides a brief intro and partial prerequisites, with no main class, Redis integration, middleware example, async implementation details, graceful degradation logic, or logging." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 4.05, "brief_justification": "The response starts with a reasonable structure and some correct token-bucket design elements, including a plausible Redis Lua script and async-oriented abstractions. However, it is clearly incomplete: the implementation is truncated mid-method, and it does not actually include the full main class, Redis integration, or FastAPI middleware example requested. Graceful degradation, comprehensive logging, and production-readiness are only partially addressed." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 5.4, "brief_justification": "Shows a reasonable async token-bucket design with Redis Lua atomicity, fallback mode, logging, and FastAPI middleware, but the response is incomplete/truncated and misses a full working example. It also does not truly support different rate limits per API key in the middleware/API surface, has concurrency issues in the local fallback, and some header/reset semantics are questionable for production readiness." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 4.8, "brief_justification": "Covers the requested components conceptually, but the implementation is incomplete/truncated and has important correctness issues: likely wrong BaseHTTPMiddleware import, Redis token updates are not truly atomic despite mentioning transactions, redis_enabled is globally disabled after one failure, and logging/degradation behavior is only partial. Clear structure overall, but not production-ready as requested." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 3.05, "brief_justification": "The response starts with a plausible design and some solid elements like a Redis Lua script, async Redis usage, and logging intent, but it is truncated mid-implementation and does not deliver the required complete main class, Redis integration, or FastAPI middleware example. As submitted, it is not production-ready and is only partially useful." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 7.8, "brief_justification": "Accurate and well-structured token-bucket Redis solution with async support, Lua atomicity, fail-open behavior, logging, and FastAPI middleware. Loses points for not being fully production-ready: per-key limits are only mocked, logging is not comprehensive, no retry/backoff or shutdown handling, middleware choice may have performance caveats in FastAPI, and 429 response lacks standard rate-limit headers/retry metadata." }, { "judge_key": "gpt_5_4", "judge_name": "GPT-5.4", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 2.85, "brief_justification": "The response starts with a sensible approach (Redis Lua script, async Redis, config structure) but is clearly incomplete: the code is cut off mid-Lua script and does not include the main class, full Redis integration, graceful degradation implementation, logging details, or the FastAPI middleware example requested. What is present is partially accurate but not sufficient to satisfy the implementation request." }, { "judge_key": "gemini_3_flash", "judge_name": "Gemini 3 Flash Preview", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 9, "brief_justification": "The response provides a high-quality, production-ready implementation. It correctly uses Lua scripts for atomicity in Redis, implements fail-open logic for graceful degradation, and provides a clean FastAPI middleware. The code is well-structured and follows modern Python practices (async/await, Pydantic). The only minor omission is the completion of the 'main.py' file which was cut off at the very end, though the intent is clear." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 6.35, "brief_justification": "Code is well-structured with proper token bucket implementation, Redis Lua script for atomicity, and in-memory fallback. However, the response is truncated - ends abruptly mid-method with 'self.fail_open' and doesn't show the FastAPI middleware example or complete the error handling block. This incompleteness significantly impacts the score." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 6.75, "brief_justification": "Well-structured and correct code with good clarity and depth, but critically incomplete - missing Redis backend implementation, memory backend for graceful degradation, and FastAPI middleware example which were explicitly requested." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 1, "brief_justification": "Response is essentially empty - only provides an intro paragraph and pip install prerequisites. No actual implementation code for the token bucket algorithm, Redis integration, rate limiting logic, graceful degradation, or FastAPI middleware is included." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 6.55, "brief_justification": "Well-structured implementation with correct token bucket algorithm and Lua script, but response is incomplete - cuts off mid-file and missing middleware example required by the question." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 7.4, "brief_justification": "Good implementation covering all requirements with token bucket algorithm, Redis integration, graceful degradation, and async support. However, there are bugs: the Redis pipeline executes twice, and the response is truncated with an incomplete exception handler. The core logic is sound but needs fixes for production use." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 6.45, "brief_justification": "Well-structured and technically sound implementation with good depth, but the response is severely truncated - the code ends abruptly mid-line with 'self._redis =' and never completes. The FastAPI middleware example mentioned in the outline is never provided, making the implementation incomplete and not runnable." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 7.45, "brief_justification": "Correct token bucket implementation with Redis Lua scripting for atomicity and graceful degradation. Well-structured code with clear comments. Missing some production features like config management, health checks, and tests. The middleware tier logic is simplistic but functional." }, { "judge_key": "minimax_m25", "judge_name": "MiniMax M2.5", "respondent_key": "mimo_v2_flash", "respondent_name": "MiMo-V2-Flash", "weighted_score": 7.8, "brief_justification": "Well-structured implementation covering all requirements with proper async support, Lua scripts for atomic operations, and fail-open degradation. However, contains a syntax error in main.py (missing closing parenthesis) and the Lua script has a minor logic issue with initial state handling." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "gpt_5_4", "respondent_name": "GPT-5.4", "weighted_score": 8.6, "brief_justification": "Excellent implementation covering all requirements. Missing middleware implementation in the provided snippet, but the core logic is robust and production-ready." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "claude_opus_46", "respondent_name": "Claude Opus 4.6", "weighted_score": 8, "brief_justification": "Response provides a well-structured, production-ready implementation with clear models, backends, and middleware. It covers all requirements including token bucket, per-key limits, Redis backend, graceful degradation, async support, and logging. Some minor omissions in the provided code snippets (e.g., incomplete backend methods) slightly reduce completeness and depth." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "gemini_31_pro", "respondent_name": "Gemini 3.1 Pro", "weighted_score": 5.45, "brief_justification": "Response is incomplete, only provides prerequisites and no actual implementation code, missing key requirements like main class, Redis integration, and FastAPI middleware." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "claude_sonnet_46", "respondent_name": "Claude Sonnet 4.6", "weighted_score": 8.6, "brief_justification": "Comprehensive implementation with correct token bucket logic, Redis integration, and FastAPI middleware. Missing some async details in Redis backend but overall production-ready." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "grok_420", "respondent_name": "Grok 4.20", "weighted_score": 8.35, "brief_justification": "Strong implementation with proper Redis Lua script for atomicity, graceful degradation, and async support. Minor issue: incomplete dependency function at the end, but the core logic is production-ready and well-structured." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "deepseek_v4", "respondent_name": "DeepSeek V4", "weighted_score": 7.75, "brief_justification": "Implementation covers all requirements with good structure and async support, but has minor issues like incomplete error handling and potential race conditions in local fallback." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "gpt_oss_120b", "respondent_name": "GPT-OSS-120B", "weighted_score": 8.6, "brief_justification": "Comprehensive, production-ready implementation with all requirements met; clear structure and async support; minor incompleteness in code snippet." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "gemini_3_flash", "respondent_name": "Gemini 3 Flash Preview", "weighted_score": 9.35, "brief_justification": "Accurate token bucket implementation with Redis, Lua atomicity, graceful degradation, async support, and FastAPI middleware. Covers all requirements thoroughly with clear code and explanations." }, { "judge_key": "mimo_v2_flash", "judge_name": "MiMo-V2-Flash", "respondent_key": "minimax_m25", "respondent_name": "MiniMax M2.5", "weighted_score": 3.2, "brief_justification": "The response is incomplete and cut off abruptly in the middle of the code block for the Lua script. While the initial setup (configuration, prerequisites) is correct and the intent to use Lua scripts is good, the lack of the actual implementation logic, the FastAPI middleware, and the graceful degradation code makes this response non-functional and not production-ready." } ], "meta": { "source": "The Multivac (app.themultivac.com)", "methodology": "10x10 blind peer matrix evaluation", "criteria": "correctness, completeness, clarity, depth, usefulness", "self_judgments": "excluded from rankings", "license": "Open data — cite as: The Multivac (2026)" } }