Arctic on MMMU: score, rank and what it means
Arctic scores 63.8 on MMMU, placing it #391 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 Arctic 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, Arctic sits at #391 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 23.1 points. The median model in this index scores 70.0, which puts Arctic below the midpoint.
Snowflake models average 56.8 on this benchmark. Arctic is 7.0 points above that provider line, so it is a stronger result than the average Snowflake model.
Among open-weight models, the average is 65.1. Arctic is 1.3 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 63.8 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 $2.72 per million input tokens, Arctic 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 |
|---|---|---|---|---|
| StableLM 2 | Stability AI | 8192 | $1.91 | 65.0 |
| OLMo 2 Base | Allen Institute for AI | 65536 | $2.39 | 67.4 |
| Firesearch Turbo | Fireworks AI | 16384 | $7.58 | 69.3 |
| Mixtral Groq Base | Groq | 32768 | $2.66 | 68.4 |
| Arctic | Snowflake | 8192 | $2.72 | 68.8 |
| Nova Pro Nano | Amazon | 8192 | $5.44 | 65.4 |
| Phi-3.5 Chat | Microsoft | 16384 | $2.64 | 69.0 |
Other benchmarks for Arctic
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 72.4 | 377 | 37th | |
| GPQA Diamond | 65.3 | 354 | 41th | |
| SWE-bench Verified | 54.2 | 391 | 35th | |
| HumanEval | 73.2 | 370 | 38th | |
| MATH-500 | 70.5 | 382 | 36th | |
| AIME 2025 | 64.6 | 343 | 43th | |
| LiveCodeBench | 61.6 | 354 | 41th | |
| IFEval | 79.0 | 354 | 41th | |
| TruthfulQA | 71.5 | 387 | 36th | |
| HellaSwag | 80.5 | 377 | 37th | |
| Arena Elo | 1345.7 | 370 | 38th |
FAQ
What score does Arctic get on MMMU?
Arctic scores 63.8 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Arctic rank on MMMU?
It ranks #391 of 600 models, in the 35th percentile. The leader is GPT-5.2 Max at 86.9.
Is Arctic 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 Arctic cost?
Arctic costs $2.72 per million input tokens and $10.57 per million output tokens.