# The Multivac — Evaluation Report

**Evaluation ID:** EVAL-20260403-105726
**Date:** Jan 15, 2026
**Category:** communication
**Question ID:** COMM-001

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## Question

Explain how transformer neural networks work. Provide two explanations:

1. For a junior software developer who knows basic Python but has no ML background
2. For a senior ML engineer who knows CNNs/RNNs but hasn't worked with transformers

Both explanations should be technically accurate. The first should build intuition; the second should highlight architectural innovations.

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## Winner

**Grok 4.20** (openrouter)
- Winner Score: 9.12
- Matrix Average: 8.48
- Total Judgments: 89

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## Rankings

| Rank | Model | Provider | Avg Score | Judgments |
|------|-------|----------|-----------|----------|
| 1 | Grok 4.20 | openrouter | 9.12 | 9 |
| 2 | MiMo-V2-Flash | Xiaomi | 9.02 | 9 |
| 3 | Seed 1.6 Flash | openrouter | 8.98 | 9 |
| 4 | Mistral Small Creative | Mistral | 8.96 | 9 |
| 5 | DeepSeek V4 | openrouter | 8.68 | 9 |
| 6 | Claude Sonnet 4.6 | openrouter | 8.63 | 9 |
| 7 | GPT-5.4 | openrouter | 8.47 | 9 |
| 8 | GPT-OSS-120B | OpenAI | 8.12 | 9 |
| 9 | Claude Opus 4.6 | openrouter | 7.67 | 9 |
| 10 | Gemini 3.1 Pro | openrouter | 7.18 | 8 |

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## 10×10 Judgment Matrix

Rows = Judge, Columns = Respondent. Self-judgments excluded (—).

| Judge ↓ / Resp → | GPT-5.4 | Claude Opus | Claude Sonnet | Gemini 3.1 Pro | Grok 4.20 | DeepSeek V4 | GPT-OSS-120B | MiMo-V2-Flash | Mistral Small | Seed 1.6 Flash |
|---|---|---|---|---|---|---|---|---|---|---|
| GPT-5.4 | — | 4.3 | 6.8 | 3.6 | 8.8 | 7.8 | 4.6 | 8.6 | 8.2 | 8.2 |
| Claude Opus | 8.4 | — | 9.0 | 6.5 | 9.2 | 8.0 | 7.3 | 8.8 | 8.8 | 8.3 |
| Claude Sonnet | 9.3 | 8.6 | — | 8.1 | 9.3 | 8.6 | 9.0 | 9.0 | 9.3 | 8.8 |
| Gemini 3.1 Pro | 6.2 | 6.4 | 8.7 | — | 10.0 | 10.0 | 6.3 | 9.6 | 9.0 | 10.0 |
| Grok 4.20 | 8.6 | 8.6 | 8.8 | 7.6 | — | 8.6 | 8.6 | 8.8 | 8.8 | 8.6 |
| DeepSeek V4 | 8.6 | 8.8 | 8.8 | 8.4 | 8.8 | — | 9.6 | 9.7 | 10.0 | 9.4 |
| GPT-OSS-120B | 8.1 | 6.0 | 8.4 | 6.0 | 8.4 | 8.4 | — | 8.3 | 8.7 | 8.4 |
| MiMo-V2-Flash | 8.6 | 8.6 | 8.7 | · | 9.2 | 8.8 | 9.0 | — | 9.0 | 9.0 |
| Mistral Small | 9.8 | 9.6 | 9.8 | 9.6 | 9.7 | 9.4 | 10.0 | 9.7 | — | 10.0 |
| Seed 1.6 Flash | 8.7 | 8.2 | 8.7 | 7.6 | 8.7 | 8.4 | 8.7 | 9.0 | 8.8 | — |

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## Methodology

- **10×10 Blind Peer Matrix:** All models answer the same question, then all models judge all responses.
- **5 Criteria:** Correctness, completeness, clarity, depth, usefulness (each scored 1–10).
- **Self-judgments excluded:** Models do not judge their own responses.
- **Weighted Score:** Composite of all 5 criteria.

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## Citation

The Multivac (2026). Blind Peer Evaluation: COMM-001. app.themultivac.com

## License

Open data. Free to use, share, and build upon. Please cite The Multivac when using this data.

Download raw JSON: https://app.themultivac.com/api/evaluations/EVAL-20260403-105726/results
Full dataset: https://app.themultivac.com/dashboard/export