Mathematics · OpenRouter

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

Auto scores 67.0 on AIME 2025, placing it #313 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
67.0
0–100 scale
Rank
#313
of 600
Percentile
48th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
24.4
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Auto 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 sits at #313 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 24.4 points. The median model in this index scores 67.6, which puts Auto below the midpoint.

OpenRouter models average 60.7 on this benchmark. Auto is 6.3 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. Auto is 6.9 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 67.0 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 $7.53 per million input tokens, Auto 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
Phi-4 Chat Microsoft 65536 $3.66 74.7
Seed-OSS Base ByteDance 16384 $3.14 72.2
Claude Haiku 4.5 Mini Anthropic 16384 $8.76 71.6
Reka Flash Reka AI 128000 $9.95 74.1
Auto OpenRouter 32768 $7.53 70.2
GPT-4.1 Mini OpenAI 128000 $10.43 74.3
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7

Other benchmarks for Auto

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.6 362 40th
GPQA Diamond 63.9 378 37th
SWE-bench Verified 58.1 355 41th
HumanEval 75.2 340 43th
MATH-500 74.1 343 43th
LiveCodeBench 59.0 378 37th
IFEval 77.3 375 38th
TruthfulQA 73.8 357 41th
HellaSwag 81.1 364 39th
MMMU 69.6 314 48th
Arena Elo 1341.2 378 37th

FAQ

What score does Auto get on AIME 2025?

Auto scores 67.0 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Auto rank on AIME 2025?

It ranks #313 of 600 models, in the 48th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Auto 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 cost?

Auto costs $7.53 per million input tokens and $29.19 per million output tokens.

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