Firefunction Max: pricing, context window and benchmarks
Firefunction Max is a mid-range model from Fireworks AI. It offers a 32,768-token context window, costs $9.12 per million input tokens and $43.08 per million output tokens, and averages 73.2 across the index's benchmark suite.
Pricing
Firefunction Max costs $9.12 per million input tokens and $43.08 per million output tokens. A blended 3:1 input-to-output mix works out to about $17.61 per million tokens. Cached input is listed at $0.94 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $9.12 | per 1M tokens |
| Output | $43.08 | per 1M tokens |
| Cached input | $0.94 | per 1M tokens |
| Blended 3:1 | $17.61 | estimate per 1M tokens |
| 1M in + 1M out | $52.20 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| 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 | |
| Arena Elo | 1370.0 | 316 | 47th |
What Firefunction Max is good for
Firefunction Max is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $9.12 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.
Strengths
- Accepts more than text, including image input where the provider supports it.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Premium input pricing at $9.12 per million tokens.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Claude Opus 4.5 Nano | Anthropic | 32768 | $9.38 | 73.3 |
| DBRX | Databricks | 65536 | $3.29 | 73.3 |
| Firefunction Max | Fireworks AI | 32768 | $9.12 | 73.2 |
| Gemini 3 Pro Nano | Google DeepMind | 8192 | $9.11 | 73.2 |
| Llama 3 Baseten Chat | Baseten | 200000 | $3.55 | 73.2 |
| Nova Lite Turbo | Amazon | 8192 | $9.14 | 73.2 |
FAQ
How much does Firefunction Max cost?
Firefunction Max is listed at $9.12 per million input tokens and $43.08 per million output tokens. Cached input is $0.94 per million tokens. A blended 3:1 input-to-output mix is about $17.61 per million tokens.
What is the context window of Firefunction Max?
Firefunction Max has a context window of 32,768 tokens and can emit up to 8,192 output tokens per request in this index.
Is Firefunction Max open weights?
No. Firefunction Max is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Firefunction Max score on benchmarks?
Firefunction Max averages 73.2 across the scored benchmarks in this index, ranking #295 of 600 models. Its strongest relative result is Arena Elo at 1370.0.
What is Firefunction Max best for?
Firefunction Max is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $9.12 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.