Head-to-head · frontier vs frontier

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

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

Anthropic

Claude 3.7 Sonnet Max

Claude 3.7 Sonnet Max is a frontier model from Anthropic. It offers a 128,000-token context window, costs $16.88 per million input tokens and $83.20 per million output tokens, and averages 83.7 across the index's benchmark suite.

Input
$16.88 / 1M
Output
$83.20 / 1M
Context
128,000
Avg score
83.7
Open weights
No
Full Claude 3.7 Sonnet Max page
OpenAI

GPT-4.1 Max

GPT-4.1 Max is a frontier model from OpenAI. It offers a 400,000-token context window, costs $17.34 per million input tokens and $66.38 per million output tokens, and averages 84.7 across the index's benchmark suite.

Input
$17.34 / 1M
Output
$66.38 / 1M
Context
400,000
Avg score
84.7
Open weights
No
Full GPT-4.1 Max page

Specification comparison

SpecClaude 3.7 Sonnet MaxGPT-4.1 MaxEdge
Input price / 1M$16.88$17.34A
Output price / 1M$83.20$66.38B
Context window128,000400,000B
Max output32,7688,192A
Average score83.784.7B
Arena Elo1461.61467.6B
Open weightsNoNoTie

Benchmark comparison

Claude 3.7 Sonnet Max wins 3, GPT-4.1 Max wins 9, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude 3.7 Sonnet MaxGPT-4.1 MaxGapWinner
MMLU-Pro86.087.41.4GPT-4.1 Max
GPQA Diamond76.881.24.4GPT-4.1 Max
SWE-bench Verified76.174.81.3Claude 3.7 Sonnet Max
HumanEval90.988.82.1Claude 3.7 Sonnet Max
MATH-50087.287.30.1GPT-4.1 Max
AIME 202580.784.94.2GPT-4.1 Max
LiveCodeBench78.178.50.4GPT-4.1 Max
IFEval90.092.12.1GPT-4.1 Max
TruthfulQA84.785.40.7GPT-4.1 Max
HellaSwag91.290.70.5Claude 3.7 Sonnet Max
MMMU78.880.51.7GPT-4.1 Max
Arena Elo1461.61467.66.0GPT-4.1 Max

Price analysis

On a blended 3:1 input-to-output basis, Claude 3.7 Sonnet Max costs about $33.46 per million tokens and GPT-4.1 Max costs about $29.60. GPT-4.1 Max is roughly 12% cheaper than Claude 3.7 Sonnet Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

GPT-4.1 Max has the larger context window at 400,000 tokens, compared with 128,000 for Claude 3.7 Sonnet Max. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude 3.7 Sonnet Max wins 3, GPT-4.1 Max wins 9, and 0 are tied. On the index average, GPT-4.1 Max leads Claude 3.7 Sonnet Max by 1.0 points (84.7 versus 83.7).

The price picture favours GPT-4.1 Max. The context picture favours GPT-4.1 Max. 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-4.1 Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Claude 3.7 Sonnet Max if

  • You need the larger 32,768-token output limit.

Choose GPT-4.1 Max 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 400,000-token context window.

FAQ

Is Claude 3.7 Sonnet Max better than GPT-4.1 Max?

On the index average, GPT-4.1 Max leads Claude 3.7 Sonnet Max by 1.0 points (84.7 versus 83.7). The better choice depends on price, context and your task. Claude 3.7 Sonnet Max wins 3 benchmarks, GPT-4.1 Max wins 9.

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

GPT-4.1 Max is cheaper on a blended 3:1 basis at about $29.60 per million tokens, versus $33.46 for Claude 3.7 Sonnet Max.

Which has the larger context window?

GPT-4.1 Max has the larger context window at 400,000 tokens. Claude 3.7 Sonnet Max has 128,000 tokens.

Are these models open weights?

Claude 3.7 Sonnet Max is proprietary; GPT-4.1 Max is proprietary.

Which should I choose for production?

If you need a single default, start with GPT-4.1 Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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