Mathematics · OpenRouter

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

Auto Max scores 68.5 on AIME 2025, placing it #287 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
68.5
0–100 scale
Rank
#287
of 600
Percentile
52th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
22.9
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Auto 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, Auto Max sits at #287 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 22.9 points. The median model in this index scores 67.6, which puts Auto Max above the midpoint.

OpenRouter models average 60.7 on this benchmark. Auto Max is 7.8 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 Max is 8.4 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 68.5 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 $8.41 per million input tokens, Auto 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
Codestral Base Mistral AI 8192 $3.31 73.1
Llama 3 Anyscale Anyscale 65536 $3.94 74.7
Llama 3 Modal Instruct Modal 128000 $3.84 75.2
GLM-4.5 Base Zhipu AI 32768 $3.99 74.9
Auto Max OpenRouter 8192 $8.41 71.2
Llama 3 Baseten Chat Baseten 200000 $3.55 73.2
Reka Flash Pro Reka AI 200000 $10.82 75.2

Other benchmarks for Auto Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.5 342 43th
GPQA Diamond 69.4 280 53th
SWE-bench Verified 58.7 345 43th
HumanEval 73.7 360 40th
MATH-500 72.6 361 40th
LiveCodeBench 60.0 368 39th
IFEval 78.1 366 39th
TruthfulQA 77.5 267 56th
HellaSwag 83.5 302 50th
MMMU 66.2 367 39th
Arena Elo 1365.1 331 45th

FAQ

What score does Auto Max get on AIME 2025?

Auto Max scores 68.5 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Auto Max rank on AIME 2025?

It ranks #287 of 600 models, in the 52nd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Auto 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 Auto Max cost?

Auto Max costs $8.41 per million input tokens and $40.47 per million output tokens.

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