Instruction following · Fireworks AI

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

Firesearch Mini scores 72.8 on IFEval, placing it #420 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
72.8
0–100 scale
Rank
#420
of 600
Percentile
30th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
23.3
points

Score distribution

The chart shows the top 10 models on IFEval, with Firesearch 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, Firesearch Mini sits at #420 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 23.3 points. The median model in this index scores 81.2, which puts Firesearch Mini below the midpoint.

Fireworks AI models average 76.8 on this benchmark. Firesearch Mini is 4.0 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. Firesearch Mini is 3.7 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 72.8 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 $3.94 per million input tokens, Firesearch Mini 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.

ModelProviderContextInput / 1MAvg score
Sonar Pro Nano Perplexity 32768 $5.50 66.1
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
StableLM 2 Instruct Stability AI 16384 $1.93 65.2
Embed 4 Pro Cohere 4096 $5.05 63.5
Firesearch Mini Fireworks AI 32768 $3.94 61.5
SmolLM3 Hugging Face 8192 $1.71 63.1
Kimi K1.5 8B Moonshot AI 8192 $1.54 62.2

Other benchmarks for Firesearch Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.5 424 29th
GPQA Diamond 55.7 452 25th
SWE-bench Verified 48.8 432 28th
HumanEval 65.5 435 28th
MATH-500 59.6 471 22th
AIME 2025 50.8 453 25th
LiveCodeBench 50.9 440 27th
TruthfulQA 66.5 436 27th
HellaSwag 77.2 412 31th
MMMU 61.1 419 30th
Arena Elo 1280.3 445 26th

FAQ

What score does Firesearch Mini get on IFEval?

Firesearch Mini scores 72.8 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Firesearch Mini rank on IFEval?

It ranks #420 of 600 models, in the 30th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Firesearch 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 Firesearch Mini cost?

Firesearch Mini costs $3.94 per million input tokens and $16.76 per million output tokens.

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