Head-to-head · frontier vs frontier

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

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

Anthropic

Claude Opus 4.5 Reasoning

Claude Opus 4.5 Reasoning is a frontier model from Anthropic. It offers a 2,000,000-token context window, costs $20.91 per million input tokens and $108.13 per million output tokens, and averages 88.2 across the index's benchmark suite.

Input
$20.91 / 1M
Output
$108.13 / 1M
Context
2,000,000
Avg score
88.2
Open weights
No
Full Claude Opus 4.5 Reasoning page
OpenAI

GPT-5.2 Max

GPT-5.2 Max is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $21.39 per million input tokens and $90.69 per million output tokens, and averages 89.2 across the index's benchmark suite.

Input
$21.39 / 1M
Output
$90.69 / 1M
Context
1,000,000
Avg score
89.2
Open weights
No
Full GPT-5.2 Max page

Specification comparison

SpecClaude Opus 4.5 ReasoningGPT-5.2 MaxEdge
Input price / 1M$20.91$21.39A
Output price / 1M$108.13$90.69B
Context window2,000,0001,000,000A
Max output16,384128,000B
Average score88.289.2B
Arena Elo1497.51495.3A
Open weightsNoNoTie

Benchmark comparison

Claude Opus 4.5 Reasoning wins 5, GPT-5.2 Max wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude Opus 4.5 ReasoningGPT-5.2 MaxGapWinner
MMLU-Pro90.787.63.1Claude Opus 4.5 Reasoning
GPQA Diamond82.683.40.8GPT-5.2 Max
SWE-bench Verified79.580.51.0GPT-5.2 Max
HumanEval92.193.61.5GPT-5.2 Max
MATH-50091.696.75.1GPT-5.2 Max
AIME 202588.988.20.7Claude Opus 4.5 Reasoning
LiveCodeBench81.884.83.0GPT-5.2 Max
IFEval95.995.20.7Claude Opus 4.5 Reasoning
TruthfulQA89.088.10.9Claude Opus 4.5 Reasoning
HellaSwag93.896.12.3GPT-5.2 Max
MMMU84.686.92.3GPT-5.2 Max
Arena Elo1497.51495.32.2Claude Opus 4.5 Reasoning

Price analysis

On a blended 3:1 input-to-output basis, Claude Opus 4.5 Reasoning costs about $42.72 per million tokens and GPT-5.2 Max costs about $38.72. GPT-5.2 Max is roughly 9% cheaper than Claude Opus 4.5 Reasoning. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Claude Opus 4.5 Reasoning has the larger context window at 2,000,000 tokens, compared with 1,000,000 for GPT-5.2 Max. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude Opus 4.5 Reasoning wins 5, GPT-5.2 Max wins 7, and 0 are tied. On the index average, GPT-5.2 Max leads Claude Opus 4.5 Reasoning by 1.0 points (89.2 versus 88.2).

The price picture favours GPT-5.2 Max. The context picture favours Claude Opus 4.5 Reasoning. 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 Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Claude Opus 4.5 Reasoning if

  • You need the larger 2,000,000-token context window.

Choose GPT-5.2 Max 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 128,000-token output limit.

FAQ

Is Claude Opus 4.5 Reasoning better than GPT-5.2 Max?

On the index average, GPT-5.2 Max leads Claude Opus 4.5 Reasoning by 1.0 points (89.2 versus 88.2). The better choice depends on price, context and your task. Claude Opus 4.5 Reasoning wins 5 benchmarks, GPT-5.2 Max wins 7.

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

GPT-5.2 Max is cheaper on a blended 3:1 basis at about $38.72 per million tokens, versus $42.72 for Claude Opus 4.5 Reasoning.

Which has the larger context window?

Claude Opus 4.5 Reasoning has the larger context window at 2,000,000 tokens. GPT-5.2 Max has 1,000,000 tokens.

Are these models open weights?

Claude Opus 4.5 Reasoning is proprietary; GPT-5.2 Max is proprietary.

Which should I choose for production?

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

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