Firesearch Max on AIME 2025: score, rank and what it means
Firesearch Max scores 62.5 on AIME 2025, placing it #370 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.
Score distribution
The chart shows the top 10 models on AIME 2025, with Firesearch Max highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 2 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 3 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 4 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 5 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
| 6 | o4 Pro | OpenAI | 1000000 | $19.37 | 87.3 |
| 7 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 8 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
| 9 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 10 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
What this score means
On AIME 2025, Firesearch Max sits at #370 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 28.9 points. The median model in this index scores 67.6, which puts Firesearch Max below the midpoint.
Fireworks AI models average 60.5 on this benchmark. Firesearch Max is 2.0 points above that provider line, so it is a stronger result than the average Fireworks AI model.
Among mid-range models, the average is 60.1. Firesearch Max is 2.4 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 62.5 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 $7.80 per million input tokens, Firesearch Max is above the median input price of $4.00 across the 600 models scored on AIME 2025. 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 |
|---|---|---|---|---|
| OLMo 2 Chat | Allen Institute for AI | 16384 | $2.94 | 70.6 |
| Firesearch Reasoning | Fireworks AI | 32768 | $7.74 | 69.0 |
| Arctic Base | Snowflake | 32768 | $2.27 | 67.5 |
| Auto Reasoning | OpenRouter | 65536 | $8.39 | 71.5 |
| Firesearch Max | Fireworks AI | 8192 | $7.80 | 69.9 |
| Llama 3 Novita Base | Novita AI | 8192 | $3.06 | 70.3 |
| ERNIE 4.5 Mini | Baidu | 32768 | $8.62 | 71.0 |
Other benchmarks for Firesearch Max
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 72.2 | 382 | 36th | |
| GPQA Diamond | 65.2 | 356 | 41th | |
| SWE-bench Verified | 61.0 | 297 | 51th | |
| HumanEval | 72.9 | 373 | 38th | |
| MATH-500 | 73.0 | 358 | 40th | |
| LiveCodeBench | 63.7 | 327 | 46th | |
| IFEval | 78.0 | 368 | 39th | |
| TruthfulQA | 71.7 | 384 | 36th | |
| HellaSwag | 81.1 | 366 | 39th | |
| MMMU | 67.3 | 355 | 41th | |
| Arena Elo | 1361.1 | 341 | 43th |
FAQ
What score does Firesearch Max get on AIME 2025?
Firesearch Max scores 62.5 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.
How does Firesearch Max rank on AIME 2025?
It ranks #370 of 600 models, in the 38th percentile. The leader is Claude Opus 4.5 Pro at 91.4.
Is Firesearch Max good at AIME 2025?
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 AIME 2025 score calculated?
AIME 2025 is a mathematics 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 Max cost?
Firesearch Max costs $7.80 per million input tokens and $31.80 per million output tokens.