Mathematics · Fireworks AI

Firefunction Max on AIME 2025: score, rank and what it means

Firefunction Max scores 70.5 on AIME 2025, placing it #248 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
70.5
0–100 scale
Rank
#248
of 600
Percentile
59th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
20.9
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Firefunction Max 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, Firefunction Max sits at #248 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 20.9 points. The median model in this index scores 67.6, which puts Firefunction Max above the midpoint.

Fireworks AI models average 60.5 on this benchmark. Firefunction Max is 10.0 points above that provider line, so it is a stronger result than the average Fireworks AI model.

Among mid-range models, the average is 60.1. Firefunction Max is 10.4 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 70.5 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 $9.12 per million input tokens, Firefunction Max is above 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
Gemma 3 Chat Google DeepMind 65536 $3.74 74.5
Mixtral Groq Instruct Groq 16384 $3.25 72.5
Yi-Lightning 01.AI 32768 $4.22 77.2
Yi-Lightning Base 01.AI 16384 $3.31 72.7
Firefunction Max Fireworks AI 32768 $9.12 73.2
Llama 3.1 Turbo Instruct Together AI 32768 $4.21 76.7
Hunyuan-Large Chat Tencent 200000 $4.35 78.1

Other benchmarks for Firefunction Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.3 323 46th
GPQA Diamond 68.8 301 50th
SWE-bench Verified 60.4 318 47th
HumanEval 75.1 343 43th
MATH-500 77.4 268 55th
LiveCodeBench 64.7 300 50th
IFEval 82.4 260 57th
TruthfulQA 75.8 312 48th
HellaSwag 83.9 284 53th
MMMU 71.4 261 57th
Arena Elo 1370.0 316 47th

FAQ

What score does Firefunction Max get on AIME 2025?

Firefunction Max scores 70.5 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Firefunction Max rank on AIME 2025?

It ranks #248 of 600 models, in the 59th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Firefunction Max good at AIME 2025?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 Firefunction Max cost?

Firefunction Max costs $9.12 per million input tokens and $43.08 per million output tokens.

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