Head-to-head · frontier vs frontier

Claude Opus 4.5 Turbo vs GPT-5.1 Turbo: which model should you choose?

We compared Claude Opus 4.5 Turbo and GPT-5.1 Turbo on price, context window and 12 benchmarks. GPT-5.1 Turbo has the stronger average benchmark score; GPT-5.1 Turbo 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-5.1 Turbo

GPT-5.1 Turbo is a frontier model from OpenAI. It offers a 2,000,000-token context window, costs $19.19 per million input tokens and $89.83 per million output tokens, and averages 86.1 across the index's benchmark suite.

Input
$19.19 / 1M
Output
$89.83 / 1M
Context
2,000,000
Avg score
86.1
Open weights
No
Full GPT-5.1 Turbo page

Specification comparison

SpecClaude Opus 4.5 TurboGPT-5.1 TurboEdge
Input price / 1M$19.57$19.19B
Output price / 1M$106.60$89.83B
Context window2,000,0002,000,000Tie
Max output65,536128,000B
Average score85.786.1B
Arena Elo1469.31482.0B
Open weightsNoNoTie

Benchmark comparison

Claude Opus 4.5 Turbo wins 7, GPT-5.1 Turbo wins 5, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude Opus 4.5 TurboGPT-5.1 TurboGapWinner
MMLU-Pro85.885.20.6Claude Opus 4.5 Turbo
GPQA Diamond81.981.30.6Claude Opus 4.5 Turbo
SWE-bench Verified75.074.70.3Claude Opus 4.5 Turbo
HumanEval89.891.51.7GPT-5.1 Turbo
MATH-50093.291.41.8Claude Opus 4.5 Turbo
AIME 202587.284.72.5Claude Opus 4.5 Turbo
LiveCodeBench78.584.66.1GPT-5.1 Turbo
IFEval92.293.41.2GPT-5.1 Turbo
TruthfulQA85.589.23.7GPT-5.1 Turbo
HellaSwag92.891.31.5Claude Opus 4.5 Turbo
MMMU80.579.70.8Claude Opus 4.5 Turbo
Arena Elo1469.31482.012.7GPT-5.1 Turbo

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-5.1 Turbo costs about $36.85. GPT-5.1 Turbo is roughly 11% 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.

Both models list a 2,000,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude Opus 4.5 Turbo wins 7, GPT-5.1 Turbo wins 5, and 0 are tied. On the index average, GPT-5.1 Turbo leads Claude Opus 4.5 Turbo by 0.4 points (86.1 versus 85.7).

The price picture favours GPT-5.1 Turbo. The context picture is effectively a tie. 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-5.1 Turbo for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Claude Opus 4.5 Turbo if

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

Choose GPT-5.1 Turbo 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 Turbo better than GPT-5.1 Turbo?

On the index average, GPT-5.1 Turbo leads Claude Opus 4.5 Turbo by 0.4 points (86.1 versus 85.7). The better choice depends on price, context and your task. Claude Opus 4.5 Turbo wins 7 benchmarks, GPT-5.1 Turbo wins 5.

Which is cheaper, Claude Opus 4.5 Turbo or GPT-5.1 Turbo?

GPT-5.1 Turbo is cheaper on a blended 3:1 basis at about $36.85 per million tokens, versus $41.33 for Claude Opus 4.5 Turbo.

Which has the larger context window?

Both models list a 2,000,000-token context window.

Are these models open weights?

Claude Opus 4.5 Turbo is proprietary; GPT-5.1 Turbo is proprietary.

Which should I choose for production?

If you need a single default, start with GPT-5.1 Turbo for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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