Mathematics · OpenRouter

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

Auto Mini scores 49.8 on AIME 2025, placing it #462 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
49.8
0–100 scale
Rank
#462
of 600
Percentile
23th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
41.6
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Auto 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, Auto Mini sits at #462 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 41.6 points. The median model in this index scores 67.6, which puts Auto Mini below the midpoint.

OpenRouter models average 60.7 on this benchmark. Auto Mini is 10.9 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 Mini is 10.3 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 49.8 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 $4.24 per million input tokens, Auto Mini 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
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
Llama 3.1 8B Meta AI 8192 $1.15 58.7
Pythia EleutherAI 32768 $1.29 59.8
Codestral 8B Mistral AI 4096 $1.18 59.0
Auto Mini OpenRouter 4096 $4.24 61.6
QwQ 7B Alibaba Cloud 8192 $1.11 58.1
Qwen3 7B Alibaba Cloud 32768 $1.37 59.8

Other benchmarks for Auto Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 68.8 407 32th
GPQA Diamond 55.8 451 25th
SWE-bench Verified 48.8 431 28th
HumanEval 66.1 428 29th
MATH-500 62.1 442 26th
LiveCodeBench 53.1 417 31th
IFEval 72.4 426 29th
TruthfulQA 67.0 429 29th
HellaSwag 74.7 446 26th
MMMU 59.3 436 27th
Arena Elo 1290.3 431 28th

FAQ

What score does Auto Mini get on AIME 2025?

Auto Mini scores 49.8 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Auto Mini rank on AIME 2025?

It ranks #462 of 600 models, in the 23rd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Auto 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 Auto Mini cost?

Auto Mini costs $4.24 per million input tokens and $18.05 per million output tokens.

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