Head-to-head · frontier vs frontier

Claude Opus 4.5 vs GPT-5.2 Vision: which model should you choose?

We compared Claude Opus 4.5 and GPT-5.2 Vision on price, context window and 12 benchmarks. Claude Opus 4.5 has the stronger average benchmark score; Claude Opus 4.5 is cheaper on a blended 3:1 basis.

Anthropic

Claude Opus 4.5

Claude Opus 4.5 is a frontier model from Anthropic. It offers a 400,000-token context window, costs $19.42 per million input tokens and $75.27 per million output tokens, and averages 87.7 across the index's benchmark suite.

Input
$19.42 / 1M
Output
$75.27 / 1M
Context
400,000
Avg score
87.7
Open weights
No
Full Claude Opus 4.5 page
OpenAI

GPT-5.2 Vision

GPT-5.2 Vision is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $19.03 per million input tokens and $85.72 per million output tokens, and averages 87.4 across the index's benchmark suite.

Input
$19.03 / 1M
Output
$85.72 / 1M
Context
1,000,000
Avg score
87.4
Open weights
No
Full GPT-5.2 Vision page

Specification comparison

SpecClaude Opus 4.5GPT-5.2 VisionEdge
Input price / 1M$19.42$19.03B
Output price / 1M$75.27$85.72A
Context window400,0001,000,000B
Max output4,09616,384B
Average score87.787.4A
Arena Elo1491.21484.3A
Open weightsNoNoTie

Benchmark comparison

Claude Opus 4.5 wins 6, GPT-5.2 Vision wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude Opus 4.5GPT-5.2 VisionGapWinner
MMLU-Pro87.089.52.5GPT-5.2 Vision
GPQA Diamond81.782.10.4GPT-5.2 Vision
SWE-bench Verified77.178.81.7GPT-5.2 Vision
HumanEval93.791.22.5Claude Opus 4.5
MATH-50093.792.90.8Claude Opus 4.5
AIME 202589.885.74.1Claude Opus 4.5
LiveCodeBench85.083.41.6Claude Opus 4.5
IFEval92.593.91.4GPT-5.2 Vision
TruthfulQA88.185.32.8Claude Opus 4.5
HellaSwag92.494.62.2GPT-5.2 Vision
MMMU84.284.40.2GPT-5.2 Vision
Arena Elo1491.21484.36.9Claude Opus 4.5

Price analysis

On a blended 3:1 input-to-output basis, Claude Opus 4.5 costs about $33.38 per million tokens and GPT-5.2 Vision costs about $35.70. Claude Opus 4.5 is roughly 6% cheaper than GPT-5.2 Vision. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

GPT-5.2 Vision has the larger context window at 1,000,000 tokens, compared with 400,000 for Claude Opus 4.5. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude Opus 4.5 wins 6, GPT-5.2 Vision wins 6, and 0 are tied. On the index average, Claude Opus 4.5 leads GPT-5.2 Vision by 0.3 points (87.7 versus 87.4).

The price picture favours Claude Opus 4.5. The context picture favours GPT-5.2 Vision. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.

If you need a single default, start with Claude Opus 4.5 for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Claude Opus 4.5 if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.

Choose GPT-5.2 Vision if

  • You need the larger 1,000,000-token context window.
  • You need the larger 16,384-token output limit.

FAQ

Is Claude Opus 4.5 better than GPT-5.2 Vision?

On the index average, Claude Opus 4.5 leads GPT-5.2 Vision by 0.3 points (87.7 versus 87.4). The better choice depends on price, context and your task. Claude Opus 4.5 wins 6 benchmarks, GPT-5.2 Vision wins 6.

Which is cheaper, Claude Opus 4.5 or GPT-5.2 Vision?

Claude Opus 4.5 is cheaper on a blended 3:1 basis at about $33.38 per million tokens, versus $35.70 for GPT-5.2 Vision.

Which has the larger context window?

GPT-5.2 Vision has the larger context window at 1,000,000 tokens. Claude Opus 4.5 has 400,000 tokens.

Are these models open weights?

Claude Opus 4.5 is proprietary; GPT-5.2 Vision is proprietary.

Which should I choose for production?

If you need a single default, start with Claude Opus 4.5 for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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