Head-to-head · frontier vs frontier

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

We compared Claude Opus 4.5 Reasoning and GPT-5.2 Turbo on price, context window and 12 benchmarks. Claude Opus 4.5 Reasoning has the stronger average benchmark score; GPT-5.2 Turbo 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 Turbo

GPT-5.2 Turbo is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $20.73 per million input tokens and $96.05 per million output tokens, and averages 87.4 across the index's benchmark suite.

Input
$20.73 / 1M
Output
$96.05 / 1M
Context
1,000,000
Avg score
87.4
Open weights
No
Full GPT-5.2 Turbo page

Specification comparison

SpecClaude Opus 4.5 ReasoningGPT-5.2 TurboEdge
Input price / 1M$20.91$20.73B
Output price / 1M$108.13$96.05B
Context window2,000,0001,000,000A
Max output16,3848,192A
Average score88.287.4A
Arena Elo1497.51500.3B
Open weightsNoNoTie

Benchmark comparison

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

BenchmarkClaude Opus 4.5 ReasoningGPT-5.2 TurboGapWinner
MMLU-Pro90.787.33.4Claude Opus 4.5 Reasoning
GPQA Diamond82.684.01.4GPT-5.2 Turbo
SWE-bench Verified79.577.42.1Claude Opus 4.5 Reasoning
HumanEval92.193.21.1GPT-5.2 Turbo
MATH-50091.692.71.1GPT-5.2 Turbo
AIME 202588.986.72.2Claude Opus 4.5 Reasoning
LiveCodeBench81.882.50.7GPT-5.2 Turbo
IFEval95.992.03.9Claude Opus 4.5 Reasoning
TruthfulQA89.087.31.7Claude Opus 4.5 Reasoning
HellaSwag93.895.51.7GPT-5.2 Turbo
MMMU84.683.31.3Claude Opus 4.5 Reasoning
Arena Elo1497.51500.32.8GPT-5.2 Turbo

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 Turbo costs about $39.56. GPT-5.2 Turbo is roughly 7% 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 Turbo. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude Opus 4.5 Reasoning wins 6, GPT-5.2 Turbo wins 6, and 0 are tied. On the index average, Claude Opus 4.5 Reasoning leads GPT-5.2 Turbo by 0.8 points (88.2 versus 87.4).

The price picture favours GPT-5.2 Turbo. 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 Claude Opus 4.5 Reasoning for quality-sensitive work and GPT-5.2 Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Claude Opus 4.5 Reasoning if

  • You want the higher average benchmark score in this index.
  • You need the larger 2,000,000-token context window.
  • You need the larger 16,384-token output limit.

Choose GPT-5.2 Turbo if

  • Unit cost matters and you want the cheaper blended price.

FAQ

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

On the index average, Claude Opus 4.5 Reasoning leads GPT-5.2 Turbo by 0.8 points (88.2 versus 87.4). The better choice depends on price, context and your task. Claude Opus 4.5 Reasoning wins 6 benchmarks, GPT-5.2 Turbo wins 6.

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

GPT-5.2 Turbo is cheaper on a blended 3:1 basis at about $39.56 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 Turbo has 1,000,000 tokens.

Are these models open weights?

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

Which should I choose for production?

If you need a single default, start with Claude Opus 4.5 Reasoning for quality-sensitive work and GPT-5.2 Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

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