Preference · OpenRouter

Auto Max on Arena Elo: score, rank and what it means

Auto Max scores 1365.1 on Arena Elo, placing it #331 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1365.1
0–100 scale
Rank
#331
of 600
Percentile
45th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
136.8
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Auto Max highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Auto Max sits at #331 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 136.8 points. The median model in this index scores 1373.8, which puts Auto Max below the midpoint.

OpenRouter models average 1336.2 on this benchmark. Auto Max is 28.9 points above that provider line, so it is a stronger result than the average OpenRouter model.

Among mid-range models, the average is 1332.0. Auto Max is 33.1 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 1365.1 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 $8.41 per million input tokens, Auto Max is above the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Baseten Base Baseten 16384 $3.16 72.4
Mixtral Turbo Chat Together AI 32768 $3.02 71.7
Auto Reasoning OpenRouter 65536 $8.39 71.5
OLMo 2 Chat Allen Institute for AI 16384 $2.94 70.6
Auto Max OpenRouter 8192 $8.41 71.2
Firesearch Reasoning Fireworks AI 32768 $7.74 69.0
Nemotron 4 Base NVIDIA 8192 $3.29 73.0

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
AIME 2025 68.5 287 52th
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

FAQ

What score does Auto Max get on Arena Elo?

Auto Max scores 1365.1 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Auto Max rank on Arena Elo?

It ranks #331 of 600 models, in the 45th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Auto Max good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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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