Head-to-head · frontier vs frontier

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

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

OpenAI

GPT-5.1 Pro

GPT-5.1 Pro is a frontier model from OpenAI. It offers a 200,000-token context window, costs $19.77 per million input tokens and $100.32 per million output tokens, and averages 87.8 across the index's benchmark suite.

Input
$19.77 / 1M
Output
$100.32 / 1M
Context
200,000
Avg score
87.8
Open weights
No
Full GPT-5.1 Pro page
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

Specification comparison

SpecGPT-5.1 ProGPT-5.1 ReasoningEdge
Input price / 1M$19.77$20.27A
Output price / 1M$100.32$82.11B
Context window200,000400,000B
Max output32,768128,000B
Average score87.888.3B
Arena Elo1490.01485.9A
Open weightsNoNoTie

Benchmark comparison

GPT-5.1 Pro wins 5, GPT-5.1 Reasoning wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGPT-5.1 ProGPT-5.1 ReasoningGapWinner
MMLU-Pro86.290.03.8GPT-5.1 Reasoning
GPQA Diamond83.485.62.2GPT-5.1 Reasoning
SWE-bench Verified80.176.04.1GPT-5.1 Pro
HumanEval91.192.91.8GPT-5.1 Reasoning
MATH-50095.195.90.8GPT-5.1 Reasoning
AIME 202590.685.05.6GPT-5.1 Pro
LiveCodeBench82.280.91.3GPT-5.1 Pro
IFEval94.894.60.2GPT-5.1 Pro
TruthfulQA86.990.03.1GPT-5.1 Reasoning
HellaSwag93.894.40.6GPT-5.1 Reasoning
MMMU81.686.24.6GPT-5.1 Reasoning
Arena Elo1490.01485.94.1GPT-5.1 Pro

Price analysis

On a blended 3:1 input-to-output basis, GPT-5.1 Pro costs about $39.91 per million tokens and GPT-5.1 Reasoning costs about $35.73. GPT-5.1 Reasoning is roughly 10% cheaper than GPT-5.1 Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

GPT-5.1 Reasoning has the larger context window at 400,000 tokens, compared with 200,000 for GPT-5.1 Pro. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, GPT-5.1 Pro wins 5, GPT-5.1 Reasoning wins 7, and 0 are tied. On the index average, GPT-5.1 Reasoning leads GPT-5.1 Pro by 0.5 points (88.3 versus 87.8).

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

Choose GPT-5.1 Pro if

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

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

FAQ

Is GPT-5.1 Pro better than GPT-5.1 Reasoning?

On the index average, GPT-5.1 Reasoning leads GPT-5.1 Pro by 0.5 points (88.3 versus 87.8). The better choice depends on price, context and your task. GPT-5.1 Pro wins 5 benchmarks, GPT-5.1 Reasoning wins 7.

Which is cheaper, GPT-5.1 Pro or GPT-5.1 Reasoning?

GPT-5.1 Reasoning is cheaper on a blended 3:1 basis at about $35.73 per million tokens, versus $39.91 for GPT-5.1 Pro.

Which has the larger context window?

GPT-5.1 Reasoning has the larger context window at 400,000 tokens. GPT-5.1 Pro has 200,000 tokens.

Are these models open weights?

GPT-5.1 Pro is proprietary; GPT-5.1 Reasoning is proprietary.

Which should I choose for production?

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

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