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GPT-5.1 (batch)

by OpenAI · Released Nov 2025

Multimodal
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Context
400K tokens (~200 books)
Input $/1M
$0.63
Output $/1M
$5.00
Type
multimodal
License
Proprietary
Benchmarks
0 tested
Data as of
About

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...

No benchmark data available yet.

Model Family · OpenAI GPT-5.1
Nov 2025
55.0
$1.25/M in400Kctx30 benchmarks
Nov 2025
$0.63/M in(-0.63)400Kctx
Nov 2025
$1.25/M in(+0.63)128Kctx(-272K)
Nov 2025
77.7+22.7
$1.25/M in400Kctx(+272K)8 benchmarks
Dec 2025
85.6+7.9
$1.25/M in400Kctx8 benchmarks
Nov 2025
63.3-22.3
$0.25/M in(-1)400Kctx8 benchmarks
See the full GPT-5.1 family →
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gpt-5-1-batch
Specifications
  • Typemultimodal
  • Context400K tokens (~200 books)
  • ReleasedNov 2025
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.006
Available On
OpenAI logoOpenAI$0.63
Learn More
context-windowtransformertokens
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GPT-5.1 (batch) is a proprietary multimodal AI model by OpenAI, released in November 2025. Context window: 400K tokens.

Related Models

Qwen3 Coder Next FP8 · AlibabaQwen2.5 Coder 32B Instruct AWQ · AlibabaSpeaker Diarization Community 1 · PyannoteGemma 3 12B (free) · Google DeepMindQwen3 Next 80B A3B Instruct (free) · Alibaba Qwen

Benchmarks

Related Pages

OpenAI · ProviderOpenAI · EconomyAll ModelsCompare ModelsPricingDevelopers · APIContext Window · Glossary

Key facts · as of 2026-10-05

  • GPT-5.1 (batch) by OpenAI. Not enough public benchmark scores to rank yet.
  • List price $0.63 input · $5.00 output per 1M tokens (as of 2026-10-05).
  • Sold by 1 provider (as of 2026-10-05): OpenAI $0.63 in / $5.00 out.

How to cite · data as of 2026-10-05

GPT-5.1 (batch) · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/gpt-5-1-batch

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP