Coding · Anthropic

Claude Opus 4.5 Vision on LiveCodeBench: score, rank and what it means

Claude Opus 4.5 Vision scores 80.1 on LiveCodeBench, placing it #43 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
80.1
0–100 scale
Rank
#43
of 600
Percentile
93th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
5.0
points

Score distribution

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

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Claude Opus 4.5 Vision sits at #43 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 5.0 points. The median model in this index scores 64.7, which puts Claude Opus 4.5 Vision above the midpoint.

Anthropic models average 74.9 on this benchmark. Claude Opus 4.5 Vision is 5.2 points above that provider line, so it is a stronger result than the average Anthropic model.

Among frontier models, the average is 80.6. Claude Opus 4.5 Vision 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 80.1 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 $17.70 per million input tokens, Claude Opus 4.5 Vision is above the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GPT-4.1 Reasoning OpenAI 1000000 $16.97 83.8
DeepSeek-V3.2 DeepSeek 1000000 $5.88 84.0
GPT-5.1 Max OpenAI 2000000 $20.50 87.9
Gemini 3 Flash Pro Google DeepMind 400000 $17.71 84.8
Claude Opus 4.5 Vision Anthropic 200000 $17.70 85.9
o4 Turbo OpenAI 2000000 $19.34 86.6
Gemini 2.5 Pro Max Google DeepMind 200000 $16.94 84.8

Other benchmarks for Claude Opus 4.5 Vision

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.9 36 94th
GPQA Diamond 80.7 48 92th
SWE-bench Verified 77.7 18 97th
HumanEval 88.2 69 89th
MATH-500 91.9 22 96th
AIME 2025 85.4 32 95th
IFEval 92.6 26 96th
TruthfulQA 86.9 38 94th
HellaSwag 91.4 49 92th
MMMU 83.2 19 97th
Arena Elo 1452.2 66 89th

FAQ

What score does Claude Opus 4.5 Vision get on LiveCodeBench?

Claude Opus 4.5 Vision scores 80.1 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Claude Opus 4.5 Vision rank on LiveCodeBench?

It ranks #43 of 600 models, in the 93rd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Claude Opus 4.5 Vision good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench is a coding 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 Vision cost?

Claude Opus 4.5 Vision costs $17.70 per million input tokens and $74.84 per million output tokens.

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