Firefunction Nano: pricing, context window and benchmarks
Firefunction Nano is a mid-range model from Fireworks AI. It offers a 16,384-token context window, costs $3.07 per million input tokens and $12.50 per million output tokens, and averages 58.1 across the index's benchmark suite.
Pricing
Firefunction Nano costs $3.07 per million input tokens and $12.50 per million output tokens. A blended 3:1 input-to-output mix works out to about $5.43 per million tokens. Cached input is listed at $0.33 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.07 | per 1M tokens |
| Output | $12.50 | per 1M tokens |
| Cached input | $0.33 | per 1M tokens |
| Blended 3:1 | $5.43 | estimate per 1M tokens |
| 1M in + 1M out | $15.57 | 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 | 64.0 | 470 | 22th | |
| GPQA Diamond | 52.5 | 494 | 18th | |
| SWE-bench Verified | 42.3 | 499 | 17th | |
| HumanEval | 62.4 | 464 | 23th | |
| MATH-500 | 61.3 | 450 | 25th | |
| AIME 2025 | 45.3 | 496 | 17th | |
| LiveCodeBench | 46.9 | 476 | 21th | |
| IFEval | 69.4 | 469 | 22th | |
| TruthfulQA | 65.5 | 453 | 25th | |
| HellaSwag | 73.8 | 458 | 24th | |
| MMMU | 56.1 | 486 | 19th | |
| Arena Elo | 1265.6 | 467 | 22th |
What Firefunction Nano is good for
Firefunction Nano 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 $3.07 per million input tokens with a 16,384-token window, check its benchmark profile against the specific task before committing.
Strengths
- Input price of $3.07 per million tokens is at or below the index median.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Context window of 16,384 tokens is small for long-document work.
- 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 3.1 Cerebras 8B | Cerebras | 32768 | $1.02 | 58.2 |
| Firefunction Nano | Fireworks AI | 16384 | $3.07 | 58.1 |
| QwQ 7B | Alibaba Cloud | 8192 | $1.11 | 58.1 |
| Nemotron 4 8B | NVIDIA | 4096 | $1.06 | 57.9 |
| Llama 3.3 7B | Meta AI | 8192 | $1.18 | 57.8 |
| MiniMax-Text 7B | MiniMax | 16384 | $1.10 | 57.7 |
FAQ
How much does Firefunction Nano cost?
Firefunction Nano is listed at $3.07 per million input tokens and $12.50 per million output tokens. Cached input is $0.33 per million tokens. A blended 3:1 input-to-output mix is about $5.43 per million tokens.
What is the context window of Firefunction Nano?
Firefunction Nano has a context window of 16,384 tokens and can emit up to 16,384 output tokens per request in this index.
Is Firefunction Nano open weights?
No. Firefunction Nano is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Firefunction Nano score on benchmarks?
Firefunction Nano averages 58.1 across the scored benchmarks in this index, ranking #472 of 600 models. Its strongest relative result is Arena Elo at 1265.6.
What is Firefunction Nano best for?
Firefunction Nano 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 $3.07 per million input tokens with a 16,384-token window, check its benchmark profile against the specific task before committing.