Firesearch Max on Arena Elo: score, rank and what it means
Firesearch Max scores 1361.1 on Arena Elo, placing it #341 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.
Score distribution
The chart shows the top 10 models on Arena Elo, with Firesearch Max highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 2 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 3 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 4 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 5 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 6 | Gemini 3 Pro Turbo | Google DeepMind | 400000 | $19.62 | 86.4 |
| 7 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 8 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 9 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 10 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
What this score means
On Arena Elo, Firesearch Max sits at #341 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 140.8 points. The median model in this index scores 1373.8, which puts Firesearch Max below the midpoint.
Fireworks AI models average 1333.5 on this benchmark. Firesearch Max is 27.5 points above that provider line, so it is a stronger result than the average Fireworks AI model.
Among mid-range models, the average is 1332.0. Firesearch Max is 29.1 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 1361.1 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 Arena Elo. 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 |
|---|---|---|---|---|
| Mixtral | Mistral AI | 65536 | $3.48 | 73.7 |
| Mixtral Instruct | Mistral AI | 65536 | $3.35 | 72.9 |
| ERNIE 4.5 Mini | Baidu | 32768 | $8.62 | 71.0 |
| Firesearch Pro | Fireworks AI | 32768 | $7.67 | 70.4 |
| Firesearch Max | Fireworks AI | 8192 | $7.80 | 69.9 |
| Llama 3 Novita Base | Novita AI | 8192 | $3.06 | 70.3 |
| Seed-OSS Base | ByteDance | 16384 | $3.14 | 72.2 |
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 | |
| AIME 2025 | 62.5 | 370 | 38th | |
| 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 |
FAQ
What score does Firesearch Max get on Arena Elo?
Firesearch Max scores 1361.1 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.
How does Firesearch Max rank on Arena Elo?
It ranks #341 of 600 models, in the 43rd percentile. The leader is Claude Opus 4.5 Max at 1501.9.
Is Firesearch Max good at Arena Elo?
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 Arena Elo score calculated?
Arena Elo is a preference 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.