Multimodal · Anthropic

Claude Opus 4.5 Max on MMMU: score, rank and what it means

Claude Opus 4.5 Max scores 82.3 on MMMU, placing it #27 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
82.3
0–100 scale
Rank
#27
of 600
Percentile
96th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
4.6
points

Score distribution

The chart shows the top 10 models on MMMU, with Claude Opus 4.5 Max highlighted. Longer bars mean higher scores.

GPT-5.2 Max 86.9
GPT-5.1 Reasoning 86.2
GPT-5.2 85.3
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.1 Max 85.1
Grok 4 Pro 84.9
Claude Opus 4.5 Reasoning 84.6
Claude Sonnet 4.5 Pro 84.5
GPT-5.2 Pro 84.4
GPT-5.2 Vision 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.2 OpenAI 2000000 $19.71 88.0
4 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
5 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
6 Grok 4 Pro xAI 1000000 $19.00 85.4
7 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
8 Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
9 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
10 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

What this score means

On MMMU, Claude Opus 4.5 Max sits at #27 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 4.6 points. The median model in this index scores 70.0, which puts Claude Opus 4.5 Max above the midpoint.

Anthropic models average 77.3 on this benchmark. Claude Opus 4.5 Max is 5.0 points above that provider line, so it is a stronger result than the average Anthropic model.

Among frontier models, the average is 81.6. Claude Opus 4.5 Max is 0.7 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 82.3 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 $20.90 per million input tokens, Claude Opus 4.5 Max is above the median input price of $4.00 across the 600 models scored on MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Gemini 3 Flash Turbo Google DeepMind 200000 $17.07 84.1
Grok 4 xAI 200000 $17.90 86.5
Gemini 2.5 Pro Reasoning Google DeepMind 128000 $16.81 83.8
Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
Grok 3 Max xAI 2000000 $17.66 85.9
Qwen3-Max Reasoning Alibaba Cloud 2000000 $18.12 85.9

Other benchmarks for Claude Opus 4.5 Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 89.5 8 99th
GPQA Diamond 84.6 8 99th
SWE-bench Verified 79.5 9 99th
HumanEval 91.7 27 96th
MATH-500 94.2 7 99th
AIME 2025 89.3 9 99th
LiveCodeBench 80.6 37 94th
IFEval 94.5 9 99th
TruthfulQA 86.9 37 94th
HellaSwag 93.0 22 96th
Arena Elo 1501.9 1 100th

FAQ

What score does Claude Opus 4.5 Max get on MMMU?

Claude Opus 4.5 Max scores 82.3 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Claude Opus 4.5 Max rank on MMMU?

It ranks #27 of 600 models, in the 96th percentile. The leader is GPT-5.2 Max at 86.9.

Is Claude Opus 4.5 Max good at MMMU?

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 MMMU score calculated?

MMMU is a multimodal 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 Claude Opus 4.5 Max cost?

Claude Opus 4.5 Max costs $20.90 per million input tokens and $106.51 per million output tokens.

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