Yi-Lightning 7B on MMMU: score, rank and what it means
Yi-Lightning 7B scores 57.0 on MMMU, placing it #471 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.
Score distribution
The chart shows the top 10 models on MMMU, with Yi-Lightning 7B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 2 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 3 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 4 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 5 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 6 | Grok 4 Pro | xAI | 1000000 | $19.00 | 85.4 |
| 7 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 8 | Claude Sonnet 4.5 Pro | Anthropic | 1000000 | $18.73 | 86.7 |
| 9 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 10 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
What this score means
On MMMU, Yi-Lightning 7B sits at #471 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 29.9 points. The median model in this index scores 70.0, which puts Yi-Lightning 7B below the midpoint.
01.AI models average 63.2 on this benchmark. Yi-Lightning 7B is 6.2 points below that provider line, so it is a weaker result than the average 01.AI model.
Among small open-weight models, the average is 52.4. Yi-Lightning 7B is 4.6 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 57.0 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $1.00 per million input tokens, Yi-Lightning 7B is below the median input price of $4.00 across the 600 models scored on MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Kimi K1.5 7B | Moonshot AI | 8192 | $1.35 | 59.9 |
| Llama 3 Novita 7B | Novita AI | 8192 | $0.92 | 56.3 |
| Phi-4 7B | Microsoft | 8192 | $0.91 | 56.8 |
| Llama 3 Modal 8B | Modal | 32768 | $0.98 | 56.6 |
| Yi-Lightning 7B | 01.AI | 32768 | $1.00 | 55.9 |
| Zephyr Chat | Hugging Face | 4096 | $1.49 | 61.3 |
| GPT-NeoX Base | EleutherAI | 16384 | $1.22 | 59.7 |
Other benchmarks for Yi-Lightning 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 62.0 | 503 | 16th | |
| GPQA Diamond | 50.6 | 517 | 14th | |
| SWE-bench Verified | 39.7 | 526 | 12th | |
| HumanEval | 58.0 | 525 | 13th | |
| MATH-500 | 60.0 | 466 | 22th | |
| AIME 2025 | 41.5 | 534 | 11th | |
| LiveCodeBench | 45.8 | 490 | 18th | |
| IFEval | 65.7 | 526 | 12th | |
| TruthfulQA | 62.5 | 496 | 17th | |
| HellaSwag | 71.6 | 508 | 15th | |
| Arena Elo | 1261.9 | 472 | 21th |
FAQ
What score does Yi-Lightning 7B get on MMMU?
Yi-Lightning 7B scores 57.0 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Yi-Lightning 7B rank on MMMU?
It ranks #471 of 600 models, in the 22nd percentile. The leader is GPT-5.2 Max at 86.9.
Is Yi-Lightning 7B good at MMMU?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.
How is the MMMU score calculated?
MMMU is a multimodal benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Yi-Lightning 7B cost?
Yi-Lightning 7B costs $1.00 per million input tokens and $3.69 per million output tokens.