OpenAI · frontier · Released 2026-07-02

GPT-5.1 Reasoning: pricing, context window and benchmarks

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.

frontierreasoningcodingvisionlong contextmultimodal
Input price
$20.27
per 1M tokens
Output price
$82.11
per 1M tokens
Context
400,000
tokens
Avg score
88.3
rank #4 of 600
Arena Elo
1485.9
modelled
Max output
128,000
tokens

Pricing

GPT-5.1 Reasoning costs $20.27 per million input tokens and $82.11 per million output tokens. A blended 3:1 input-to-output mix works out to about $35.73 per million tokens. Cached input is listed at $2.09 per million tokens.

ItemPriceNotes
Input$20.27per 1M tokens
Output$82.11per 1M tokens
Cached input$2.09per 1M tokens
Blended 3:1$35.73estimate per 1M tokens
1M in + 1M out$102.38estimate

Benchmarks

Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.

BenchmarkScoreRankPercentileRelative
MMLU-Pro 90.0 6 99th
GPQA Diamond 85.6 4 99th
SWE-bench Verified 76.0 30 95th
HumanEval 92.9 10 98th
MATH-500 95.9 2 100th
AIME 2025 85.0 39 94th
LiveCodeBench 80.9 33 95th
IFEval 94.6 8 99th
TruthfulQA 90.0 3 100th
HellaSwag 94.4 9 99th
MMMU 86.2 2 100th
Arena Elo 1485.9 14 98th

What GPT-5.1 Reasoning is good for

GPT-5.1 Reasoning sits in the frontier tier of the index. It is aimed at work where answer quality matters more than unit cost: hard reasoning, multi-step coding, document analysis and multimodal inputs. At $20.27 per million input tokens and a 400,000-token context window, it is a premium option, so reserve it for tasks where a cheaper model measurably fails.

Strengths

  • Top-tier average benchmark score (88.3), placing it #4 of 600.
  • Large 400,000-token context window for long documents and agent traces.
  • Accepts more than text, including image input where the provider supports it.
  • Reasoning-oriented profile, useful for multi-step problems and structured analysis.
  • Coding benchmarks are a relative strength within its tier.

Trade-offs

  • Proprietary licence: you cannot download the weights or self-host the model.
  • Premium input pricing at $20.27 per million tokens.
  • Cost can climb quickly on long outputs and high-volume traffic.

How it compares

ModelProviderContextInput / 1MAvg score
GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
GPT-5.2 OpenAI 2000000 $19.71 88.0
GPT-5.1 Max OpenAI 2000000 $20.50 87.9
Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
GPT-5.1 Pro OpenAI 200000 $19.77 87.8

Browse all comparisons →

FAQ

How much does GPT-5.1 Reasoning cost?

GPT-5.1 Reasoning is listed at $20.27 per million input tokens and $82.11 per million output tokens. Cached input is $2.09 per million tokens. A blended 3:1 input-to-output mix is about $35.73 per million tokens.

What is the context window of GPT-5.1 Reasoning?

GPT-5.1 Reasoning has a context window of 400,000 tokens and can emit up to 128,000 output tokens per request in this index.

Is GPT-5.1 Reasoning open weights?

No. GPT-5.1 Reasoning is a proprietary model with a proprietary licence, so you cannot download the weights.

How does GPT-5.1 Reasoning score on benchmarks?

GPT-5.1 Reasoning averages 88.3 across the scored benchmarks in this index, ranking #4 of 600 models. Its strongest relative result is MMMU at 86.2.

What is GPT-5.1 Reasoning best for?

GPT-5.1 Reasoning sits in the frontier tier of the index. It is aimed at work where answer quality matters more than unit cost: hard reasoning, multi-step coding, document analysis and multimodal inputs. At $20.27 per million input tokens and a 400,000-token context window, it is a premium option, so reserve it for tasks where a cheaper model measurably fails.

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