Head-to-head · frontier vs frontier

Claude 3.7 Sonnet Reasoning vs GPT-4.1 Turbo: which model should you choose?

We compared Claude 3.7 Sonnet Reasoning and GPT-4.1 Turbo on price, context window and 12 benchmarks. Claude 3.7 Sonnet Reasoning has the stronger average benchmark score; GPT-4.1 Turbo is cheaper on a blended 3:1 basis.

Anthropic

Claude 3.7 Sonnet Reasoning

Claude 3.7 Sonnet Reasoning is a frontier model from Anthropic. It offers a 128,000-token context window, costs $16.30 per million input tokens and $77.62 per million output tokens, and averages 83.7 across the index's benchmark suite.

Input
$16.30 / 1M
Output
$77.62 / 1M
Context
128,000
Avg score
83.7
Open weights
No
Full Claude 3.7 Sonnet Reasoning page
OpenAI

GPT-4.1 Turbo

GPT-4.1 Turbo is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $16.12 per million input tokens and $69.91 per million output tokens, and averages 82.9 across the index's benchmark suite.

Input
$16.12 / 1M
Output
$69.91 / 1M
Context
1,000,000
Avg score
82.9
Open weights
No
Full GPT-4.1 Turbo page

Specification comparison

SpecClaude 3.7 Sonnet ReasoningGPT-4.1 TurboEdge
Input price / 1M$16.30$16.12B
Output price / 1M$77.62$69.91B
Context window128,0001,000,000B
Max output128,000128,000Tie
Average score83.782.9A
Arena Elo1464.41446.2A
Open weightsNoNoTie

Benchmark comparison

Claude 3.7 Sonnet Reasoning wins 8, GPT-4.1 Turbo wins 4, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude 3.7 Sonnet ReasoningGPT-4.1 TurboGapWinner
MMLU-Pro86.484.61.8Claude 3.7 Sonnet Reasoning
GPQA Diamond81.376.15.2Claude 3.7 Sonnet Reasoning
SWE-bench Verified71.074.73.7GPT-4.1 Turbo
HumanEval89.289.80.6GPT-4.1 Turbo
MATH-50090.386.93.4Claude 3.7 Sonnet Reasoning
AIME 202579.877.42.4Claude 3.7 Sonnet Reasoning
LiveCodeBench79.678.70.9Claude 3.7 Sonnet Reasoning
IFEval90.188.21.9Claude 3.7 Sonnet Reasoning
TruthfulQA86.287.00.8GPT-4.1 Turbo
HellaSwag90.490.00.4Claude 3.7 Sonnet Reasoning
MMMU76.578.52.0GPT-4.1 Turbo
Arena Elo1464.41446.218.2Claude 3.7 Sonnet Reasoning

Price analysis

On a blended 3:1 input-to-output basis, Claude 3.7 Sonnet Reasoning costs about $31.63 per million tokens and GPT-4.1 Turbo costs about $29.57. GPT-4.1 Turbo is roughly 7% cheaper than Claude 3.7 Sonnet Reasoning. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

GPT-4.1 Turbo has the larger context window at 1,000,000 tokens, compared with 128,000 for Claude 3.7 Sonnet Reasoning. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude 3.7 Sonnet Reasoning wins 8, GPT-4.1 Turbo wins 4, and 0 are tied. On the index average, Claude 3.7 Sonnet Reasoning leads GPT-4.1 Turbo by 0.8 points (83.7 versus 82.9).

The price picture favours GPT-4.1 Turbo. The context picture favours GPT-4.1 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 Claude 3.7 Sonnet Reasoning for quality-sensitive work and GPT-4.1 Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Claude 3.7 Sonnet Reasoning if

  • You want the higher average benchmark score in this index.

Choose GPT-4.1 Turbo if

  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 1,000,000-token context window.

FAQ

Is Claude 3.7 Sonnet Reasoning better than GPT-4.1 Turbo?

On the index average, Claude 3.7 Sonnet Reasoning leads GPT-4.1 Turbo by 0.8 points (83.7 versus 82.9). The better choice depends on price, context and your task. Claude 3.7 Sonnet Reasoning wins 8 benchmarks, GPT-4.1 Turbo wins 4.

Which is cheaper, Claude 3.7 Sonnet Reasoning or GPT-4.1 Turbo?

GPT-4.1 Turbo is cheaper on a blended 3:1 basis at about $29.57 per million tokens, versus $31.63 for Claude 3.7 Sonnet Reasoning.

Which has the larger context window?

GPT-4.1 Turbo has the larger context window at 1,000,000 tokens. Claude 3.7 Sonnet Reasoning has 128,000 tokens.

Are these models open weights?

Claude 3.7 Sonnet Reasoning is proprietary; GPT-4.1 Turbo is proprietary.

Which should I choose for production?

If you need a single default, start with Claude 3.7 Sonnet Reasoning for quality-sensitive work and GPT-4.1 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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