Mathematics · OpenRouter

Auto Nano on AIME 2025: score, rank and what it means

Auto Nano scores 44.2 on AIME 2025, placing it #505 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
44.2
0–100 scale
Rank
#505
of 600
Percentile
16th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
47.2
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Auto Nano 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, Auto Nano sits at #505 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 47.2 points. The median model in this index scores 67.6, which puts Auto Nano below the midpoint.

OpenRouter models average 60.7 on this benchmark. Auto Nano is 16.5 points below that provider line, so it is a weaker result than the average OpenRouter model.

Among mid-range models, the average is 60.1. Auto Nano is 15.9 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 44.2 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 $2.83 per million input tokens, Auto Nano 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
Llama 3.1 Turbo 7B Together AI 8192 $0.98 56.4
Llama 3.1 Turbo 8B Together AI 32768 $1.16 58.8
Llama 3 Modal 7B Modal 4096 $0.88 55.2
Mixtral 8B Mistral AI 8192 $0.91 55.4
Auto Nano OpenRouter 4096 $2.83 57.1
Llama 3 Novita 7B Novita AI 8192 $0.92 56.3
Nemotron 4 7B NVIDIA 16384 $1.05 56.9

Other benchmarks for Auto Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.0 453 25th
GPQA Diamond 50.2 520 13th
SWE-bench Verified 44.2 475 21th
HumanEval 62.7 461 23th
MATH-500 60.0 464 23th
LiveCodeBench 46.5 483 20th
IFEval 66.5 508 15th
TruthfulQA 61.7 509 15th
HellaSwag 72.2 490 18th
MMMU 55.2 494 18th
Arena Elo 1256.0 481 20th

FAQ

What score does Auto Nano get on AIME 2025?

Auto Nano scores 44.2 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Auto Nano rank on AIME 2025?

It ranks #505 of 600 models, in the 16th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Auto Nano 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 Auto Nano cost?

Auto Nano costs $2.83 per million input tokens and $14.41 per million output tokens.

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