Head-to-head · frontier vs frontier

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

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

Anthropic

Claude Opus 4.5 Pro

Claude Opus 4.5 Pro is a frontier model from Anthropic. It offers a 200,000-token context window, costs $20.98 per million input tokens and $85.59 per million output tokens, and averages 89.1 across the index's benchmark suite.

Input
$20.98 / 1M
Output
$85.59 / 1M
Context
200,000
Avg score
89.1
Open weights
No
Full Claude Opus 4.5 Pro page
OpenAI

GPT-5.2 Pro

GPT-5.2 Pro is a frontier model from OpenAI. It offers a 2,000,000-token context window, costs $21.32 per million input tokens and $76.33 per million output tokens, and averages 89.6 across the index's benchmark suite.

Input
$21.32 / 1M
Output
$76.33 / 1M
Context
2,000,000
Avg score
89.6
Open weights
No
Full GPT-5.2 Pro page

Specification comparison

SpecClaude Opus 4.5 ProGPT-5.2 ProEdge
Input price / 1M$20.98$21.32A
Output price / 1M$85.59$76.33B
Context window200,0002,000,000B
Max output32,76832,768Tie
Average score89.189.6B
Arena Elo1483.91485.0B
Open weightsNoNoTie

Benchmark comparison

Claude Opus 4.5 Pro wins 3, GPT-5.2 Pro wins 9, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude Opus 4.5 ProGPT-5.2 ProGapWinner
MMLU-Pro91.291.60.4GPT-5.2 Pro
GPQA Diamond86.083.22.8Claude Opus 4.5 Pro
SWE-bench Verified81.181.70.6GPT-5.2 Pro
HumanEval93.496.83.4GPT-5.2 Pro
MATH-50091.291.80.6GPT-5.2 Pro
AIME 202591.491.00.4Claude Opus 4.5 Pro
LiveCodeBench84.184.60.5GPT-5.2 Pro
IFEval96.195.60.5Claude Opus 4.5 Pro
TruthfulQA86.790.03.3GPT-5.2 Pro
HellaSwag95.295.30.1GPT-5.2 Pro
MMMU83.384.41.1GPT-5.2 Pro
Arena Elo1483.91485.01.1GPT-5.2 Pro

Price analysis

On a blended 3:1 input-to-output basis, Claude Opus 4.5 Pro costs about $37.13 per million tokens and GPT-5.2 Pro costs about $35.07. GPT-5.2 Pro is roughly 6% cheaper than Claude Opus 4.5 Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

GPT-5.2 Pro has the larger context window at 2,000,000 tokens, compared with 200,000 for Claude Opus 4.5 Pro. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude Opus 4.5 Pro wins 3, GPT-5.2 Pro wins 9, and 0 are tied. On the index average, GPT-5.2 Pro leads Claude Opus 4.5 Pro by 0.5 points (89.6 versus 89.1).

The price picture favours GPT-5.2 Pro. The context picture favours GPT-5.2 Pro. 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 GPT-5.2 Pro for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Claude Opus 4.5 Pro if

  • You prefer Anthropic's tooling or already use it.

Choose GPT-5.2 Pro if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 2,000,000-token context window.

FAQ

Is Claude Opus 4.5 Pro better than GPT-5.2 Pro?

On the index average, GPT-5.2 Pro leads Claude Opus 4.5 Pro by 0.5 points (89.6 versus 89.1). The better choice depends on price, context and your task. Claude Opus 4.5 Pro wins 3 benchmarks, GPT-5.2 Pro wins 9.

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

GPT-5.2 Pro is cheaper on a blended 3:1 basis at about $35.07 per million tokens, versus $37.13 for Claude Opus 4.5 Pro.

Which has the larger context window?

GPT-5.2 Pro has the larger context window at 2,000,000 tokens. Claude Opus 4.5 Pro has 200,000 tokens.

Are these models open weights?

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

Which should I choose for production?

If you need a single default, start with GPT-5.2 Pro for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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