Firefunction Reasoning on GPQA Diamond: score, rank and what it means
Firefunction Reasoning scores 68.2 on GPQA Diamond, placing it #309 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 Firefunction Reasoning 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, Firefunction Reasoning sits at #309 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 18.8 points. The median model in this index scores 68.8, which puts Firefunction Reasoning below the midpoint.
Fireworks AI models average 63.3 on this benchmark. Firefunction Reasoning is 4.9 points above that provider line, so it is a stronger result than the average Fireworks AI model.
Among mid-range models, the average is 62.9. Firefunction Reasoning is 5.3 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 68.2 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 $9.08 per million input tokens, Firefunction Reasoning is above 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 |
|---|---|---|---|---|
| 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 |
| Mistral Small 3 Chat | Mistral AI | 200000 | $3.54 | 73.7 |
| Seed-OSS Base | ByteDance | 16384 | $3.14 | 72.2 |
Other benchmarks for Firefunction Reasoning
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 73.7 | 359 | 40th | |
| SWE-bench Verified | 58.2 | 351 | 42th | |
| HumanEval | 77.2 | 306 | 49th | |
| MATH-500 | 76.5 | 290 | 52th | |
| AIME 2025 | 71.4 | 232 | 61th | |
| LiveCodeBench | 63.7 | 326 | 46th | |
| IFEval | 81.1 | 306 | 49th | |
| TruthfulQA | 77.5 | 268 | 55th | |
| HellaSwag | 83.1 | 316 | 47th | |
| MMMU | 67.3 | 354 | 41th | |
| Arena Elo | 1359.1 | 346 | 42th |
FAQ
What score does Firefunction Reasoning get on GPQA Diamond?
Firefunction Reasoning scores 68.2 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does Firefunction Reasoning rank on GPQA Diamond?
It ranks #309 of 600 models, in the 49th percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Firefunction Reasoning 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 Firefunction Reasoning cost?
Firefunction Reasoning costs $9.08 per million input tokens and $42.16 per million output tokens.