Head-to-head · frontier vs frontier

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

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

OpenAI

GPT-5.1 Reasoning

GPT-5.1 Reasoning is a frontier model from OpenAI. It offers a 400,000-token context window, costs $20.27 per million input tokens and $82.11 per million output tokens, and averages 88.3 across the index's benchmark suite.

Input
$20.27 / 1M
Output
$82.11 / 1M
Context
400,000
Avg score
88.3
Open weights
No
Full GPT-5.1 Reasoning page
OpenAI

GPT-5.2 Max

GPT-5.2 Max is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $21.39 per million input tokens and $90.69 per million output tokens, and averages 89.2 across the index's benchmark suite.

Input
$21.39 / 1M
Output
$90.69 / 1M
Context
1,000,000
Avg score
89.2
Open weights
No
Full GPT-5.2 Max page

Specification comparison

SpecGPT-5.1 ReasoningGPT-5.2 MaxEdge
Input price / 1M$20.27$21.39A
Output price / 1M$82.11$90.69A
Context window400,0001,000,000B
Max output128,000128,000Tie
Average score88.389.2B
Arena Elo1485.91495.3B
Open weightsNoNoTie

Benchmark comparison

GPT-5.1 Reasoning wins 3, GPT-5.2 Max wins 9, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGPT-5.1 ReasoningGPT-5.2 MaxGapWinner
MMLU-Pro90.087.62.4GPT-5.1 Reasoning
GPQA Diamond85.683.42.2GPT-5.1 Reasoning
SWE-bench Verified76.080.54.5GPT-5.2 Max
HumanEval92.993.60.7GPT-5.2 Max
MATH-50095.996.70.8GPT-5.2 Max
AIME 202585.088.23.2GPT-5.2 Max
LiveCodeBench80.984.83.9GPT-5.2 Max
IFEval94.695.20.6GPT-5.2 Max
TruthfulQA90.088.11.9GPT-5.1 Reasoning
HellaSwag94.496.11.7GPT-5.2 Max
MMMU86.286.90.7GPT-5.2 Max
Arena Elo1485.91495.39.4GPT-5.2 Max

Price analysis

On a blended 3:1 input-to-output basis, GPT-5.1 Reasoning costs about $35.73 per million tokens and GPT-5.2 Max costs about $38.72. GPT-5.1 Reasoning is roughly 8% cheaper than GPT-5.2 Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

GPT-5.2 Max has the larger context window at 1,000,000 tokens, compared with 400,000 for GPT-5.1 Reasoning. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, GPT-5.1 Reasoning wins 3, GPT-5.2 Max wins 9, and 0 are tied. On the index average, GPT-5.2 Max leads GPT-5.1 Reasoning by 0.9 points (89.2 versus 88.3).

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

Choose GPT-5.1 Reasoning if

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

Choose GPT-5.2 Max if

  • You want the higher average benchmark score in this index.
  • You need the larger 1,000,000-token context window.

FAQ

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

On the index average, GPT-5.2 Max leads GPT-5.1 Reasoning by 0.9 points (89.2 versus 88.3). The better choice depends on price, context and your task. GPT-5.1 Reasoning wins 3 benchmarks, GPT-5.2 Max wins 9.

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

GPT-5.1 Reasoning is cheaper on a blended 3:1 basis at about $35.73 per million tokens, versus $38.72 for GPT-5.2 Max.

Which has the larger context window?

GPT-5.2 Max has the larger context window at 1,000,000 tokens. GPT-5.1 Reasoning has 400,000 tokens.

Are these models open weights?

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

Which should I choose for production?

If you need a single default, start with GPT-5.2 Max for quality-sensitive work and GPT-5.1 Reasoning for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

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