Preference · Anthropic

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

Claude Opus 4.5 Mini scores 1403.1 on Arena Elo, placing it #201 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
1403.1
0–100 scale
Rank
#201
of 600
Percentile
67th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
98.8
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Claude Opus 4.5 Mini 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 Mini sits at #201 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 98.8 points. The median model in this index scores 1373.8, which puts Claude Opus 4.5 Mini above the midpoint.

Anthropic models average 1437.5 on this benchmark. Claude Opus 4.5 Mini is 34.4 points below that provider line, so it is a weaker result than the average Anthropic model.

Among multimodal models, the average is 1409.6. Claude Opus 4.5 Mini is 6.5 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 1403.1 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 $12.72 per million input tokens, Claude Opus 4.5 Mini 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
MiniMax-M2 Base MiniMax 65536 $4.20 76.4
DeepSeek-Coder DeepSeek 32768 $4.55 78.1
Claude Sonnet 4.5 Mini Anthropic 32768 $11.43 76.5
Hunyuan-Turbo Pro Tencent 65536 $12.00 77.6
Claude Opus 4.5 Mini Anthropic 65536 $12.72 79.0
GLM-4.5 Base Zhipu AI 32768 $3.99 74.9
Magistral Instruct Mistral AI 65536 $4.48 78.4

Other benchmarks for Claude Opus 4.5 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.0 103 83th
GPQA Diamond 76.2 113 81th
SWE-bench Verified 64.8 216 64th
HumanEval 82.8 162 73th
MATH-500 84.2 119 80th
AIME 2025 76.1 138 77th
LiveCodeBench 72.5 136 77th
IFEval 84.3 205 66th
TruthfulQA 81.1 153 75th
HellaSwag 87.1 170 72th
MMMU 76.5 123 80th

FAQ

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

Claude Opus 4.5 Mini scores 1403.1 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 Mini rank on Arena Elo?

It ranks #201 of 600 models, in the 67th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Claude Opus 4.5 Mini 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 Mini cost?

Claude Opus 4.5 Mini costs $12.72 per million input tokens and $48.32 per million output tokens.

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