Firefunction Nano on IFEval: score, rank and what it means
Firefunction Nano scores 69.4 on IFEval, placing it #469 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.
Score distribution
The chart shows the top 10 models on IFEval, with Firefunction Nano highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 2 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 3 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 6 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 7 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
| 8 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 9 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 10 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
What this score means
On IFEval, Firefunction Nano sits at #469 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 26.7 points. The median model in this index scores 81.2, which puts Firefunction Nano below the midpoint.
Fireworks AI models average 76.8 on this benchmark. Firefunction Nano is 7.4 points below that provider line, so it is a weaker result than the average Fireworks AI model.
Among mid-range models, the average is 76.5. Firefunction Nano is 7.1 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 69.4 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 $3.07 per million input tokens, Firefunction Nano is below the median input price of $4.00 across the 600 models scored on IFEval. 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 |
|---|---|---|---|---|
| MiniMax-Text 8B | MiniMax | 4096 | $1.22 | 59.5 |
| Llama 3 DeepInfra 8B | DeepInfra | 8192 | $1.05 | 57.4 |
| Magistral 7B | Mistral AI | 32768 | $1.22 | 58.9 |
| Pythia Chat | EleutherAI | 4096 | $1.31 | 59.1 |
| Firefunction Nano | Fireworks AI | 16384 | $3.07 | 58.1 |
| Nemotron 4 7B | NVIDIA | 16384 | $1.05 | 56.9 |
| Seed-OSS 8B | ByteDance | 8192 | $1.05 | 57.1 |
Other benchmarks for Firefunction Nano
| 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 | |
| TruthfulQA | 65.5 | 453 | 25th | |
| HellaSwag | 73.8 | 458 | 24th | |
| MMMU | 56.1 | 486 | 19th | |
| Arena Elo | 1265.6 | 467 | 22th |
FAQ
What score does Firefunction Nano get on IFEval?
Firefunction Nano scores 69.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.
How does Firefunction Nano rank on IFEval?
It ranks #469 of 600 models, in the 22nd percentile. The leader is Claude Opus 4.5 Pro at 96.1.
Is Firefunction Nano good at IFEval?
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 IFEval score calculated?
IFEval is a instruction following 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 Nano cost?
Firefunction Nano costs $3.07 per million input tokens and $12.50 per million output tokens.