Firefunction Max on Arena Elo: score, rank and what it means
Firefunction Max scores 1370.0 on Arena Elo, placing it #316 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 Firefunction 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, Firefunction Max sits at #316 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 131.9 points. The median model in this index scores 1373.8, which puts Firefunction Max below the midpoint.
Fireworks AI models average 1333.5 on this benchmark. Firefunction Max is 36.5 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. Firefunction Max is 38.0 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 1370.0 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 $9.12 per million input tokens, Firefunction 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 |
|---|---|---|---|---|
| Gemma 3 | Google DeepMind | 65536 | $3.68 | 73.6 |
| Nova Lite Reasoning | Amazon | 32768 | $9.92 | 74.3 |
| Llama 3 DeepInfra | DeepInfra | 128000 | $3.67 | 74.0 |
| Claude Haiku 4.5 Mini | Anthropic | 16384 | $8.76 | 71.6 |
| Firefunction Max | Fireworks AI | 32768 | $9.12 | 73.2 |
| Llama 3 Hyperbolic Base | Hyperbolic | 32768 | $3.02 | 71.1 |
| Llama 3.1 Base | Meta AI | 32768 | $3.39 | 72.2 |
Other benchmarks for Firefunction Max
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 75.3 | 323 | 46th | |
| GPQA Diamond | 68.8 | 301 | 50th | |
| SWE-bench Verified | 60.4 | 318 | 47th | |
| HumanEval | 75.1 | 343 | 43th | |
| MATH-500 | 77.4 | 268 | 55th | |
| AIME 2025 | 70.5 | 248 | 59th | |
| LiveCodeBench | 64.7 | 300 | 50th | |
| IFEval | 82.4 | 260 | 57th | |
| TruthfulQA | 75.8 | 312 | 48th | |
| HellaSwag | 83.9 | 284 | 53th | |
| MMMU | 71.4 | 261 | 57th |
FAQ
What score does Firefunction Max get on Arena Elo?
Firefunction Max scores 1370.0 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.
How does Firefunction Max rank on Arena Elo?
It ranks #316 of 600 models, in the 47th percentile. The leader is Claude Opus 4.5 Max at 1501.9.
Is Firefunction 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 Firefunction Max cost?
Firefunction Max costs $9.12 per million input tokens and $43.08 per million output tokens.