MiniMax-Text Base on GPQA Diamond: score, rank and what it means
MiniMax-Text Base scores 68.4 on GPQA Diamond, placing it #307 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.
Score distribution
The chart shows the top 10 models on GPQA Diamond, with MiniMax-Text Base highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 2 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 3 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 4 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 5 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 6 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 7 | o4 Turbo | OpenAI | 2000000 | $19.34 | 86.6 |
| 8 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 9 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 10 | Claude Sonnet 4.5 Max | Anthropic | 1000000 | $19.90 | 87.2 |
What this score means
On GPQA Diamond, MiniMax-Text Base sits at #307 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 18.6 points. The median model in this index scores 68.8, which puts MiniMax-Text Base below the midpoint.
MiniMax models average 65.1 on this benchmark. MiniMax-Text Base is 3.3 points above that provider line, so it is a stronger result than the average MiniMax model.
Among multimodal models, the average is 73.5. MiniMax-Text Base is 5.1 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 68.4 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 $3.66 per million input tokens, MiniMax-Text Base is below the median input price of $4.00 across the 600 models scored on GPQA Diamond. 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 |
|---|---|---|---|---|
| Sonar Pro Mini | Perplexity | 8192 | $8.02 | 70.3 |
| Reka Flash | Reka AI | 128000 | $9.95 | 74.1 |
| Firesearch Pro | Fireworks AI | 32768 | $7.67 | 70.4 |
| GPT-5.2 Nano | OpenAI | 128000 | $9.73 | 73.5 |
| MiniMax-Text Base | MiniMax | 128000 | $3.66 | 74.9 |
| Llama 3.1 Base | Meta AI | 32768 | $3.39 | 72.2 |
| Firefunction Reasoning | Fireworks AI | 8192 | $9.08 | 72.5 |
Other benchmarks for MiniMax-Text Base
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 77.1 | 273 | 55th | |
| SWE-bench Verified | 62.2 | 276 | 54th | |
| HumanEval | 79.9 | 236 | 61th | |
| MATH-500 | 79.6 | 219 | 64th | |
| AIME 2025 | 73.6 | 195 | 68th | |
| LiveCodeBench | 68.0 | 226 | 62th | |
| IFEval | 82.8 | 250 | 58th | |
| TruthfulQA | 75.7 | 316 | 47th | |
| HellaSwag | 86.2 | 209 | 65th | |
| MMMU | 70.1 | 299 | 50th | |
| Arena Elo | 1373.6 | 304 | 49th |
FAQ
What score does MiniMax-Text Base get on GPQA Diamond?
MiniMax-Text Base scores 68.4 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does MiniMax-Text Base rank on GPQA Diamond?
It ranks #307 of 600 models, in the 49th percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is MiniMax-Text Base good at GPQA Diamond?
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 GPQA Diamond score calculated?
GPQA Diamond is a reasoning 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 Base cost?
MiniMax-Text Base costs $3.66 per million input tokens and $19.71 per million output tokens.