Firesearch Mini on GPQA Diamond: score, rank and what it means
Firesearch Mini scores 55.7 on GPQA Diamond, placing it #452 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 Firesearch Mini 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, Firesearch Mini sits at #452 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 31.3 points. The median model in this index scores 68.8, which puts Firesearch Mini below the midpoint.
Fireworks AI models average 63.3 on this benchmark. Firesearch Mini is 7.6 points below that provider line, so it is a weaker result than the average Fireworks AI model.
Among mid-range models, the average is 62.9. Firesearch Mini is 7.2 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 55.7 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 $3.94 per million input tokens, Firesearch Mini 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 |
|---|---|---|---|---|
| GPT-NeoX Base | EleutherAI | 16384 | $1.22 | 59.7 |
| Kimi K1.5 7B | Moonshot AI | 8192 | $1.35 | 59.9 |
| Mistral Large 3 7B | Mistral AI | 32768 | $1.44 | 61.1 |
| Auto Mini | OpenRouter | 4096 | $4.24 | 61.6 |
| Firesearch Mini | Fireworks AI | 32768 | $3.94 | 61.5 |
| Mistral Large 3 8B | Mistral AI | 16384 | $1.62 | 61.6 |
| QwQ 8B | Alibaba Cloud | 16384 | $1.37 | 59.5 |
Other benchmarks for Firesearch Mini
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 67.5 | 424 | 29th | |
| SWE-bench Verified | 48.8 | 432 | 28th | |
| HumanEval | 65.5 | 435 | 28th | |
| MATH-500 | 59.6 | 471 | 22th | |
| AIME 2025 | 50.8 | 453 | 25th | |
| LiveCodeBench | 50.9 | 440 | 27th | |
| IFEval | 72.8 | 420 | 30th | |
| TruthfulQA | 66.5 | 436 | 27th | |
| HellaSwag | 77.2 | 412 | 31th | |
| MMMU | 61.1 | 419 | 30th | |
| Arena Elo | 1280.3 | 445 | 26th |
FAQ
What score does Firesearch Mini get on GPQA Diamond?
Firesearch Mini scores 55.7 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does Firesearch Mini rank on GPQA Diamond?
It ranks #452 of 600 models, in the 25th percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Firesearch Mini 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 Firesearch Mini cost?
Firesearch Mini costs $3.94 per million input tokens and $16.76 per million output tokens.