MiniMax-Text 7B on MMLU-Pro: score, rank and what it means
MiniMax-Text 7B scores 63.0 on MMLU-Pro, placing it #489 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.
Score distribution
The chart shows the top 10 models on MMLU-Pro, with MiniMax-Text 7B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 3 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 4 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 5 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 6 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 7 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 8 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 9 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On MMLU-Pro, MiniMax-Text 7B sits at #489 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 28.6 points. The median model in this index scores 76.1, which puts MiniMax-Text 7B below the midpoint.
MiniMax models average 72.7 on this benchmark. MiniMax-Text 7B is 9.7 points below that provider line, so it is a weaker result than the average MiniMax model.
Among small open-weight models, the average is 59.8. MiniMax-Text 7B is 3.2 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 63.0 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 $1.10 per million input tokens, MiniMax-Text 7B is below the median input price of $4.00 across the 600 models scored on MMLU-Pro. 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 |
|---|---|---|---|---|
| DeepSeek-Coder 8B | DeepSeek | 32768 | $1.26 | 58.7 |
| Embed 4 Mini | Cohere | 4096 | $2.48 | 55.8 |
| Pythia | EleutherAI | 32768 | $1.29 | 59.8 |
| Firesearch Nano | Fireworks AI | 8192 | $2.49 | 55.6 |
| MiniMax-Text 7B | MiniMax | 16384 | $1.10 | 57.7 |
| Llama 3.1 Cerebras 7B | Cerebras | 32768 | $0.95 | 56.5 |
| Llama 3.3 7B | Meta AI | 8192 | $1.18 | 57.8 |
Other benchmarks for MiniMax-Text 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| GPQA Diamond | 54.6 | 471 | 22th | |
| SWE-bench Verified | 42.7 | 494 | 18th | |
| HumanEval | 60.2 | 503 | 16th | |
| MATH-500 | 59.9 | 467 | 22th | |
| AIME 2025 | 48.5 | 466 | 22th | |
| LiveCodeBench | 47.6 | 470 | 22th | |
| IFEval | 68.0 | 489 | 19th | |
| TruthfulQA | 63.0 | 493 | 18th | |
| HellaSwag | 73.6 | 463 | 23th | |
| MMMU | 53.4 | 515 | 14th | |
| Arena Elo | 1253.5 | 484 | 19th |
FAQ
What score does MiniMax-Text 7B get on MMLU-Pro?
MiniMax-Text 7B scores 63.0 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.
How does MiniMax-Text 7B rank on MMLU-Pro?
It ranks #489 of 600 models, in the 19th percentile. The leader is GPT-5.2 Pro at 91.6.
Is MiniMax-Text 7B good at MMLU-Pro?
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 MMLU-Pro score calculated?
MMLU-Pro is a knowledge 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 MiniMax-Text 7B cost?
MiniMax-Text 7B costs $1.10 per million input tokens and $4.16 per million output tokens.