Head-to-head · frontier vs frontier

GPT-5.1 Max vs GPT-5.2 Turbo: which model should you choose?

We compared GPT-5.1 Max and GPT-5.2 Turbo on price, context window and 12 benchmarks. GPT-5.1 Max has the stronger average benchmark score; GPT-5.2 Turbo is cheaper on a blended 3:1 basis.

OpenAI

GPT-5.1 Max

GPT-5.1 Max is a frontier model from OpenAI. It offers a 2,000,000-token context window, costs $20.50 per million input tokens and $103.98 per million output tokens, and averages 87.9 across the index's benchmark suite.

Input
$20.50 / 1M
Output
$103.98 / 1M
Context
2,000,000
Avg score
87.9
Open weights
No
Full GPT-5.1 Max page
OpenAI

GPT-5.2 Turbo

GPT-5.2 Turbo is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $20.73 per million input tokens and $96.05 per million output tokens, and averages 87.4 across the index's benchmark suite.

Input
$20.73 / 1M
Output
$96.05 / 1M
Context
1,000,000
Avg score
87.4
Open weights
No
Full GPT-5.2 Turbo page

Specification comparison

SpecGPT-5.1 MaxGPT-5.2 TurboEdge
Input price / 1M$20.50$20.73A
Output price / 1M$103.98$96.05B
Context window2,000,0001,000,000A
Max output8,1928,192Tie
Average score87.987.4A
Arena Elo1478.21500.3B
Open weightsNoNoTie

Benchmark comparison

GPT-5.1 Max wins 6, GPT-5.2 Turbo wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGPT-5.1 MaxGPT-5.2 TurboGapWinner
MMLU-Pro91.387.34.0GPT-5.1 Max
GPQA Diamond86.484.02.4GPT-5.1 Max
SWE-bench Verified75.677.41.8GPT-5.2 Turbo
HumanEval92.293.21.0GPT-5.2 Turbo
MATH-50091.392.71.4GPT-5.2 Turbo
AIME 202588.886.72.1GPT-5.1 Max
LiveCodeBench80.282.52.3GPT-5.2 Turbo
IFEval92.292.00.2GPT-5.1 Max
TruthfulQA91.187.33.8GPT-5.1 Max
HellaSwag93.195.52.4GPT-5.2 Turbo
MMMU85.183.31.8GPT-5.1 Max
Arena Elo1478.21500.322.1GPT-5.2 Turbo

Price analysis

On a blended 3:1 input-to-output basis, GPT-5.1 Max costs about $41.37 per million tokens and GPT-5.2 Turbo costs about $39.56. GPT-5.2 Turbo is roughly 4% cheaper than GPT-5.1 Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

GPT-5.1 Max has the larger context window at 2,000,000 tokens, compared with 1,000,000 for GPT-5.2 Turbo. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, GPT-5.1 Max wins 6, GPT-5.2 Turbo wins 6, and 0 are tied. On the index average, GPT-5.1 Max leads GPT-5.2 Turbo by 0.5 points (87.9 versus 87.4).

The price picture favours GPT-5.2 Turbo. The context picture favours GPT-5.1 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-5.1 Max for quality-sensitive work and GPT-5.2 Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose GPT-5.1 Max if

  • You want the higher average benchmark score in this index.
  • You need the larger 2,000,000-token context window.

Choose GPT-5.2 Turbo if

  • Unit cost matters and you want the cheaper blended price.

FAQ

Is GPT-5.1 Max better than GPT-5.2 Turbo?

On the index average, GPT-5.1 Max leads GPT-5.2 Turbo by 0.5 points (87.9 versus 87.4). The better choice depends on price, context and your task. GPT-5.1 Max wins 6 benchmarks, GPT-5.2 Turbo wins 6.

Which is cheaper, GPT-5.1 Max or GPT-5.2 Turbo?

GPT-5.2 Turbo is cheaper on a blended 3:1 basis at about $39.56 per million tokens, versus $41.37 for GPT-5.1 Max.

Which has the larger context window?

GPT-5.1 Max has the larger context window at 2,000,000 tokens. GPT-5.2 Turbo has 1,000,000 tokens.

Are these models open weights?

GPT-5.1 Max is proprietary; GPT-5.2 Turbo is proprietary.

Which should I choose for production?

If you need a single default, start with GPT-5.1 Max for quality-sensitive work and GPT-5.2 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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