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GPT-5.2 (batch)

by OpenAI · Released Dec 2025

Multimodal
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Context
400K tokens (~200 books)
Input $/1M
$0.88
Output $/1M
$7.00
Type
multimodal
License
Proprietary
Benchmarks
0 tested
Data as of
About

GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...

No benchmark data available yet.

Model Family · OpenAI GPT-5.2
Dec 2025
58.4
$1.75/M in400Kctx33 benchmarks
Dec 2025
$0.88/M in(-0.88)400Kctx
Dec 2025
$1.75/M in(+0.88)128Kctx(-272K)
Dec 2025
70.2+11.8
$21.00/M in(+19.25)400Kctx(+272K)6 benchmarks
Dec 2025
$10.50/M in(-10.50)400Kctx
Jan 2026
80.7+10.5
$1.75/M in(-8.75)400Kctx9 benchmarks
See the full GPT-5.2 family →
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gpt-5-2-batch
Specifications
  • Typemultimodal
  • Context400K tokens (~200 books)
  • ReleasedDec 2025
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.009
Available On
OpenAI logoOpenAI$0.88
Learn More
context-windowtransformertokens
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GPT-5.2 (batch) is a proprietary multimodal AI model by OpenAI, released in December 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-5.2 (batch) by OpenAI. Not enough public benchmark scores to rank yet.
  • List price $0.88 input · $7.00 output per 1M tokens (as of 2026-10-05).
  • Sold by 1 provider (as of 2026-10-05): OpenAI $0.88 in / $7.00 out.

How to cite · data as of 2026-10-05

GPT-5.2 (batch) · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/gpt-5-2-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