Firefunction Turbo: pricing, context window and benchmarks
Firefunction Turbo is a mid-range model from Fireworks AI. It offers a 32,768-token context window, costs $8.44 per million input tokens and $36.83 per million output tokens, and averages 70.7 across the index's benchmark suite.
Pricing
Firefunction Turbo costs $8.44 per million input tokens and $36.83 per million output tokens. A blended 3:1 input-to-output mix works out to about $15.54 per million tokens. Cached input is listed at $0.71 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $8.44 | per 1M tokens |
| Output | $36.83 | per 1M tokens |
| Cached input | $0.71 | per 1M tokens |
| Blended 3:1 | $15.54 | estimate per 1M tokens |
| 1M in + 1M out | $45.27 | 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 | 74.9 | 335 | 44th | |
| GPQA Diamond | 67.4 | 322 | 46th | |
| SWE-bench Verified | 62.1 | 279 | 54th | |
| HumanEval | 73.3 | 367 | 39th | |
| MATH-500 | 71.4 | 376 | 37th | |
| AIME 2025 | 63.7 | 359 | 40th | |
| LiveCodeBench | 63.3 | 333 | 45th | |
| IFEval | 79.8 | 335 | 44th | |
| TruthfulQA | 74.3 | 348 | 42th | |
| HellaSwag | 81.9 | 349 | 42th | |
| MMMU | 66.1 | 371 | 38th | |
| Arena Elo | 1356.4 | 352 | 41th |
What Firefunction Turbo is good for
Firefunction Turbo 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 $8.44 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 $8.44 per million tokens.
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Phi-3.5 | Microsoft | 16384 | $2.81 | 70.9 |
| Firefunction Turbo | Fireworks AI | 32768 | $8.44 | 70.7 |
| Arctic Instruct | Snowflake | 65536 | $2.83 | 70.6 |
| Nova Pro Mini | Amazon | 16384 | $7.74 | 70.6 |
| OLMo 2 Chat | Allen Institute for AI | 16384 | $2.94 | 70.6 |
| o3 Nano | OpenAI | 32768 | $7.78 | 70.6 |
FAQ
How much does Firefunction Turbo cost?
Firefunction Turbo is listed at $8.44 per million input tokens and $36.83 per million output tokens. Cached input is $0.71 per million tokens. A blended 3:1 input-to-output mix is about $15.54 per million tokens.
What is the context window of Firefunction Turbo?
Firefunction Turbo has a context window of 32,768 tokens and can emit up to 8,192 output tokens per request in this index.
Is Firefunction Turbo open weights?
No. Firefunction Turbo is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Firefunction Turbo score on benchmarks?
Firefunction Turbo averages 70.7 across the scored benchmarks in this index, ranking #352 of 600 models. Its strongest relative result is Arena Elo at 1356.4.
What is Firefunction Turbo best for?
Firefunction Turbo 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 $8.44 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.