Firefunction Mini: pricing, context window and benchmarks
Firefunction Mini is a mid-range model from Fireworks AI. It offers a 32,768-token context window, costs $4.63 per million input tokens and $24.26 per million output tokens, and averages 63.2 across the index's benchmark suite.
Pricing
Firefunction Mini costs $4.63 per million input tokens and $24.26 per million output tokens. A blended 3:1 input-to-output mix works out to about $9.54 per million tokens. Cached input is listed at $0.62 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $4.63 | per 1M tokens |
| Output | $24.26 | per 1M tokens |
| Cached input | $0.62 | per 1M tokens |
| Blended 3:1 | $9.54 | estimate per 1M tokens |
| 1M in + 1M out | $28.89 | 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 | 69.4 | 403 | 33th | |
| GPQA Diamond | 59.0 | 416 | 31th | |
| SWE-bench Verified | 52.4 | 402 | 33th | |
| HumanEval | 69.2 | 407 | 32th | |
| MATH-500 | 63.1 | 435 | 28th | |
| AIME 2025 | 52.5 | 440 | 27th | |
| LiveCodeBench | 51.4 | 434 | 28th | |
| IFEval | 71.1 | 440 | 27th | |
| TruthfulQA | 67.7 | 418 | 30th | |
| HellaSwag | 75.8 | 429 | 29th | |
| MMMU | 63.5 | 395 | 34th | |
| Arena Elo | 1299.6 | 421 | 30th |
What Firefunction Mini is good for
Firefunction Mini 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 $4.63 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.
Strengths
- Balanced specification profile with no single dominant strength.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 4 Maverick 8B | Meta AI | 4096 | $1.64 | 63.4 |
| Fusion Mini | OpenRouter | 4096 | $4.89 | 63.3 |
| DeepSeek-V3.2 7B | DeepSeek | 4096 | $1.75 | 63.2 |
| Firefunction Mini | Fireworks AI | 32768 | $4.63 | 63.2 |
| GLM-4.6 8B | Zhipu AI | 8192 | $1.69 | 63.1 |
| SmolLM3 | Hugging Face | 8192 | $1.71 | 63.1 |
FAQ
How much does Firefunction Mini cost?
Firefunction Mini is listed at $4.63 per million input tokens and $24.26 per million output tokens. Cached input is $0.62 per million tokens. A blended 3:1 input-to-output mix is about $9.54 per million tokens.
What is the context window of Firefunction Mini?
Firefunction Mini has a context window of 32,768 tokens and can emit up to 16,384 output tokens per request in this index.
Is Firefunction Mini open weights?
No. Firefunction Mini is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Firefunction Mini score on benchmarks?
Firefunction Mini averages 63.2 across the scored benchmarks in this index, ranking #417 of 600 models. Its strongest relative result is Arena Elo at 1299.6.
What is Firefunction Mini best for?
Firefunction Mini 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 $4.63 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.