Preference · Anthropic

Claude Opus 4.5 Turbo on Arena Elo: score, rank and what it means

Claude Opus 4.5 Turbo scores 1469.3 on Arena Elo, placing it #34 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
1469.3
0–100 scale
Rank
#34
of 600
Percentile
94th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
32.6
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Claude Opus 4.5 Turbo 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, Claude Opus 4.5 Turbo sits at #34 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 32.6 points. The median model in this index scores 1373.8, which puts Claude Opus 4.5 Turbo above the midpoint.

Anthropic models average 1437.5 on this benchmark. Claude Opus 4.5 Turbo is 31.8 points above that provider line, so it is a stronger result than the average Anthropic model.

Among frontier models, the average is 1469.8. Claude Opus 4.5 Turbo is 0.5 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 1469.3 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 $19.57 per million input tokens, Claude Opus 4.5 Turbo 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
Gemini 2.5 Pro Reasoning Google DeepMind 128000 $16.81 83.8
o3 Pro OpenAI 400000 $17.89 85.8
o4 Pro OpenAI 1000000 $19.37 87.3
o4 OpenAI 2000000 $17.74 85.4
Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7
Gemini 3 Flash Pro Google DeepMind 400000 $17.71 84.8
Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7

Other benchmarks for Claude Opus 4.5 Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 85.8 55 91th
GPQA Diamond 81.9 30 95th
SWE-bench Verified 75.0 41 93th
HumanEval 89.8 49 92th
MATH-500 93.2 10 98th
AIME 2025 87.2 20 97th
LiveCodeBench 78.5 58 90th
IFEval 92.2 33 95th
TruthfulQA 85.5 56 91th
HellaSwag 92.8 26 96th
MMMU 80.5 50 92th

FAQ

What score does Claude Opus 4.5 Turbo get on Arena Elo?

Claude Opus 4.5 Turbo scores 1469.3 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Claude Opus 4.5 Turbo rank on Arena Elo?

It ranks #34 of 600 models, in the 94th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Claude Opus 4.5 Turbo good at Arena Elo?

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 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 Claude Opus 4.5 Turbo cost?

Claude Opus 4.5 Turbo costs $19.57 per million input tokens and $106.60 per million output tokens.

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