Mathematics · Fireworks AI

Firesearch Mini on AIME 2025: score, rank and what it means

Firesearch Mini scores 50.8 on AIME 2025, placing it #453 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
50.8
0–100 scale
Rank
#453
of 600
Percentile
25th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
40.6
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Firesearch Mini highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Firesearch Mini sits at #453 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 40.6 points. The median model in this index scores 67.6, which puts Firesearch Mini below the midpoint.

Fireworks AI models average 60.5 on this benchmark. Firesearch Mini is 9.7 points below that provider line, so it is a weaker result than the average Fireworks AI model.

Among mid-range models, the average is 60.1. Firesearch Mini is 9.3 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 50.8 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 AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nemotron 4 8B NVIDIA 4096 $1.06 57.9
Kimi K2 7B Moonshot AI 16384 $1.72 62.7
GPT-NeoX Chat EleutherAI 16384 $1.49 60.1
Zephyr Base Hugging Face 4096 $1.26 59.5
Firesearch Mini Fireworks AI 32768 $3.94 61.5
Pythia Chat EleutherAI 4096 $1.31 59.1
Llama 3.3 Groq 8B Groq 16384 $1.17 59.5

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
LiveCodeBench 50.9 440 27th
IFEval 72.8 420 30th
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 AIME 2025?

Firesearch Mini scores 50.8 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Firesearch Mini rank on AIME 2025?

It ranks #453 of 600 models, in the 25th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Firesearch Mini good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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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