Pythia Instruct on MMMU: score, rank and what it means
Pythia Instruct scores 56.2 on MMMU, placing it #485 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 Pythia Instruct 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, Pythia Instruct sits at #485 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 30.7 points. The median model in this index scores 70.0, which puts Pythia Instruct below the midpoint.
EleutherAI models average 50.0 on this benchmark. Pythia Instruct is 6.2 points above that provider line, so it is a stronger result than the average EleutherAI model.
Among open-weight models, the average is 65.1. Pythia Instruct is 8.9 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 56.2 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 $1.41 per million input tokens, Pythia Instruct 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 |
|---|---|---|---|---|
| Qwen3 7B | Alibaba Cloud | 32768 | $1.37 | 59.8 |
| Qwen3-Coder 7B | Alibaba Cloud | 32768 | $1.24 | 59.6 |
| DeepSeek-V3.2 1.5B | DeepSeek | 4096 | $1.02 | 56.9 |
| DeepSeek-R1 1.5B | DeepSeek | 16384 | $1.04 | 56.6 |
| Pythia Instruct | EleutherAI | 8192 | $1.41 | 60.8 |
| Firefunction Nano | Fireworks AI | 16384 | $3.07 | 58.1 |
| Llama 3 Anyscale 7B | Anyscale | 4096 | $0.98 | 56.2 |
Other benchmarks for Pythia Instruct
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 65.3 | 448 | 25th | |
| GPQA Diamond | 58.3 | 424 | 29th | |
| SWE-bench Verified | 47.1 | 445 | 26th | |
| HumanEval | 66.3 | 427 | 29th | |
| MATH-500 | 63.5 | 429 | 29th | |
| AIME 2025 | 52.3 | 443 | 26th | |
| LiveCodeBench | 46.8 | 480 | 20th | |
| IFEval | 72.4 | 428 | 29th | |
| TruthfulQA | 66.7 | 435 | 28th | |
| HellaSwag | 73.8 | 459 | 24th | |
| Arena Elo | 1291.1 | 430 | 28th |
FAQ
What score does Pythia Instruct get on MMMU?
Pythia Instruct scores 56.2 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Pythia Instruct rank on MMMU?
It ranks #485 of 600 models, in the 19th percentile. The leader is GPT-5.2 Max at 86.9.
Is Pythia Instruct 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 Pythia Instruct cost?
Pythia Instruct costs $1.41 per million input tokens and $5.70 per million output tokens.