Head-to-head · frontier vs frontier

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

We compared Claude Sonnet 4.5 Turbo and GPT-5.1 on price, context window and 12 benchmarks. GPT-5.1 has the stronger average benchmark score; GPT-5.1 is cheaper on a blended 3:1 basis.

Anthropic

Claude Sonnet 4.5 Turbo

Claude Sonnet 4.5 Turbo is a frontier model from Anthropic. It offers a 1,000,000-token context window, costs $18.37 per million input tokens and $81.65 per million output tokens, and averages 85.9 across the index's benchmark suite.

Input
$18.37 / 1M
Output
$81.65 / 1M
Context
1,000,000
Avg score
85.9
Open weights
No
Full Claude Sonnet 4.5 Turbo page
OpenAI

GPT-5.1

GPT-5.1 is a frontier model from OpenAI. It offers a 2,000,000-token context window, costs $19.01 per million input tokens and $69.84 per million output tokens, and averages 86.0 across the index's benchmark suite.

Input
$19.01 / 1M
Output
$69.84 / 1M
Context
2,000,000
Avg score
86.0
Open weights
No
Full GPT-5.1 page

Specification comparison

SpecClaude Sonnet 4.5 TurboGPT-5.1Edge
Input price / 1M$18.37$19.01A
Output price / 1M$81.65$69.84B
Context window1,000,0002,000,000B
Max output65,536128,000B
Average score85.986.0B
Arena Elo1461.71462.5B
Open weightsNoNoTie

Benchmark comparison

Claude Sonnet 4.5 Turbo wins 5, GPT-5.1 wins 6, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude Sonnet 4.5 TurboGPT-5.1GapWinner
MMLU-Pro87.286.11.1Claude Sonnet 4.5 Turbo
GPQA Diamond83.782.31.4Claude Sonnet 4.5 Turbo
SWE-bench Verified75.276.10.9GPT-5.1
HumanEval90.490.60.2GPT-5.1
MATH-50088.090.52.5GPT-5.1
AIME 202587.885.62.2Claude Sonnet 4.5 Turbo
LiveCodeBench78.978.90.0Tie
IFEval91.490.90.5Claude Sonnet 4.5 Turbo
TruthfulQA87.789.21.5GPT-5.1
HellaSwag93.992.21.7Claude Sonnet 4.5 Turbo
MMMU81.183.32.2GPT-5.1
Arena Elo1461.71462.50.8GPT-5.1

Price analysis

On a blended 3:1 input-to-output basis, Claude Sonnet 4.5 Turbo costs about $34.19 per million tokens and GPT-5.1 costs about $31.72. GPT-5.1 is roughly 7% cheaper than Claude Sonnet 4.5 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

GPT-5.1 has the larger context window at 2,000,000 tokens, compared with 1,000,000 for Claude Sonnet 4.5 Turbo. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude Sonnet 4.5 Turbo wins 5, GPT-5.1 wins 6, and 1 are tied. On the index average, GPT-5.1 leads Claude Sonnet 4.5 Turbo by 0.1 points (86.0 versus 85.9).

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

Choose Claude Sonnet 4.5 Turbo if

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

Choose GPT-5.1 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.
  • You need the larger 128,000-token output limit.

FAQ

Is Claude Sonnet 4.5 Turbo better than GPT-5.1?

On the index average, GPT-5.1 leads Claude Sonnet 4.5 Turbo by 0.1 points (86.0 versus 85.9). The better choice depends on price, context and your task. Claude Sonnet 4.5 Turbo wins 5 benchmarks, GPT-5.1 wins 6.

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

GPT-5.1 is cheaper on a blended 3:1 basis at about $31.72 per million tokens, versus $34.19 for Claude Sonnet 4.5 Turbo.

Which has the larger context window?

GPT-5.1 has the larger context window at 2,000,000 tokens. Claude Sonnet 4.5 Turbo has 1,000,000 tokens.

Are these models open weights?

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

Which should I choose for production?

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

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