Head-to-head · frontier vs frontier

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

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

Anthropic

Claude Opus 4.5 Turbo

Claude Opus 4.5 Turbo is a frontier model from Anthropic. It offers a 2,000,000-token context window, costs $19.57 per million input tokens and $106.60 per million output tokens, and averages 85.7 across the index's benchmark suite.

Input
$19.57 / 1M
Output
$106.60 / 1M
Context
2,000,000
Avg score
85.7
Open weights
No
Full Claude Opus 4.5 Turbo 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 4.5 TurboGPT-5.2 VisionEdge
Input price / 1M$19.57$19.03B
Output price / 1M$106.60$85.72B
Context window2,000,0001,000,000A
Max output65,53616,384A
Average score85.787.4B
Arena Elo1469.31484.3B
Open weightsNoNoTie

Benchmark comparison

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

BenchmarkClaude Opus 4.5 TurboGPT-5.2 VisionGapWinner
MMLU-Pro85.889.53.7GPT-5.2 Vision
GPQA Diamond81.982.10.2GPT-5.2 Vision
SWE-bench Verified75.078.83.8GPT-5.2 Vision
HumanEval89.891.21.4GPT-5.2 Vision
MATH-50093.292.90.3Claude Opus 4.5 Turbo
AIME 202587.285.71.5Claude Opus 4.5 Turbo
LiveCodeBench78.583.44.9GPT-5.2 Vision
IFEval92.293.91.7GPT-5.2 Vision
TruthfulQA85.585.30.2Claude Opus 4.5 Turbo
HellaSwag92.894.61.8GPT-5.2 Vision
MMMU80.584.43.9GPT-5.2 Vision
Arena Elo1469.31484.315.0GPT-5.2 Vision

Price analysis

On a blended 3:1 input-to-output basis, Claude Opus 4.5 Turbo costs about $41.33 per million tokens and GPT-5.2 Vision costs about $35.70. GPT-5.2 Vision is roughly 14% cheaper than Claude Opus 4.5 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

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

Verdict

Across 12 shared benchmarks, Claude Opus 4.5 Turbo wins 3, GPT-5.2 Vision wins 9, and 0 are tied. On the index average, GPT-5.2 Vision leads Claude Opus 4.5 Turbo by 1.7 points (87.4 versus 85.7).

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

Choose Claude Opus 4.5 Turbo if

  • You need the larger 2,000,000-token context window.
  • You need the larger 65,536-token output limit.

Choose GPT-5.2 Vision if

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

FAQ

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

On the index average, GPT-5.2 Vision leads Claude Opus 4.5 Turbo by 1.7 points (87.4 versus 85.7). The better choice depends on price, context and your task. Claude Opus 4.5 Turbo wins 3 benchmarks, GPT-5.2 Vision wins 9.

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

GPT-5.2 Vision is cheaper on a blended 3:1 basis at about $35.70 per million tokens, versus $41.33 for Claude Opus 4.5 Turbo.

Which has the larger context window?

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

Are these models open weights?

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

Which should I choose for production?

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

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