OpenAI

GPT-5.2

Pricing TBALarge memoryVisionTool use

GPT-5.2 is OpenAI's large-memory model with vision, tool use. This page shows current pricing, an interactive cost calculator, and a side-by-side with similar models.

Input

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Output

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Cached

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Batch

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Interactive

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What would GPT-5.2 cost you?

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Technical specifications

GPT-5.2 at a glance.

Memory

200,000

tokens

Max reply

16,384

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

tiktoken-o200k

Released

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Training cutoff

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Availability

Pricing TBA

Status

preview

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick GPT-5.2

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Pricing isn’t public yet, so budget certainty matters.

Alternatives

Similar models to compare.

FAQ

GPT-5.2 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

OpenAI has announced GPT-5.2 but hasn't published pricing yet. We'll update this page the moment a public price page goes live.
GPT-5.2 has a 200,000-token context window (large memory — an entire book or large codebase). That means you can fit about 37,500 words of input and history in a single call.
Beyond text generation, GPT-5.2 supports understanding images, calling functions / tools, strict JSON output. It streams replies by default.
Models in a similar class include GPT-5, GPT-5.1, Claude Opus 4.7. The "Similar models" section below this FAQ links into each.

Still unsure?

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