Mathematics · OpenRouter

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

Fusion Max scores 65.1 on AIME 2025, placing it #337 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
65.1
0–100 scale
Rank
#337
of 600
Percentile
44th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
26.3
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Fusion 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, Fusion Max sits at #337 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 26.3 points. The median model in this index scores 67.6, which puts Fusion Max below the midpoint.

OpenRouter models average 60.7 on this benchmark. Fusion Max is 4.4 points above that provider line, so it is a stronger result than the average OpenRouter model.

Among mid-range models, the average is 60.1. Fusion Max is 5.0 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 65.1 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 $9.14 per million input tokens, Fusion 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
Nova Lite Max Amazon 200000 $9.79 73.4
o3 Nano OpenAI 32768 $7.78 70.6
Auto Pro OpenRouter 8192 $8.41 71.2
Mixtral Turbo Chat Together AI 32768 $3.02 71.7
Fusion Max OpenRouter 65536 $9.14 72.5
Llama 3 Modal Base Modal 16384 $3.21 72.2
Yi-Large Instruct 01.AI 32768 $3.48 73.4

Other benchmarks for Fusion Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.1 329 45th
GPQA Diamond 71.5 229 62th
SWE-bench Verified 59.1 340 43th
HumanEval 79.1 262 56th
MATH-500 74.1 344 43th
LiveCodeBench 63.3 334 44th
IFEval 81.4 288 52th
TruthfulQA 78.6 231 62th
HellaSwag 82.6 331 45th
MMMU 67.7 348 42th
Arena Elo 1359.7 345 43th

FAQ

What score does Fusion Max get on AIME 2025?

Fusion Max scores 65.1 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Fusion Max rank on AIME 2025?

It ranks #337 of 600 models, in the 44th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Fusion Max 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 Fusion Max cost?

Fusion Max costs $9.14 per million input tokens and $43.52 per million output tokens.

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