Instruction following · Fireworks AI

Firefunction Mini on IFEval: score, rank and what it means

Firefunction Mini scores 71.1 on IFEval, placing it #440 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
71.1
0–100 scale
Rank
#440
of 600
Percentile
27th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
25.0
points

Score distribution

The chart shows the top 10 models on IFEval, with Firefunction Mini highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg 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 Mini sits at #440 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 25.0 points. The median model in this index scores 81.2, which puts Firefunction Mini below the midpoint.

Fireworks AI models average 76.8 on this benchmark. Firefunction Mini is 5.7 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 Mini is 5.4 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 71.1 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 $4.63 per million input tokens, Firefunction Mini is above 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.

ModelProviderContextInput / 1MAvg score
QwQ 8B Alibaba Cloud 16384 $1.37 59.5
SmolLM3 Base Hugging Face 16384 $1.38 60.4
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
GPT-NeoX Instruct EleutherAI 16384 $1.52 62.6
Firefunction Mini Fireworks AI 32768 $4.63 63.2
Qwen3-Coder 7B Alibaba Cloud 32768 $1.24 59.6
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9

Other benchmarks for Firefunction Mini

BenchmarkScoreRankPercentileRelative
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
TruthfulQA 67.7 418 30th
HellaSwag 75.8 429 29th
MMMU 63.5 395 34th
Arena Elo 1299.6 421 30th

FAQ

What score does Firefunction Mini get on IFEval?

Firefunction Mini scores 71.1 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Firefunction Mini rank on IFEval?

It ranks #440 of 600 models, in the 27th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Firefunction Mini 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 Mini cost?

Firefunction Mini costs $4.63 per million input tokens and $24.26 per million output tokens.

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