OpenAI: GPT-5.2 Chat

Public pricingIntelligence 82/100Medium memoryЗрениеРабота с инструментами

OpenAI: GPT-5.2 Chat — это мультимодальной‑модель для мультимодальное рассуждение и анализ. Она сочетает обработку мультимодальных входов и глубокое рассуждение и планирование, контекст 128K tokens и профиль сбалансированный по цене, обеспечивая надёжную работу в задачах мультимодальное рассуждение и анализ.

Input

$1.75/1M

Output

$14.00/1M

Cached

$0.17/1M

Batch

$0.44/1M

Calculate your GPT-5.2 Chat bill.

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What would GPT-5.2 Chat cost you?

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Technical specifications

GPT-5.2 Chat at a glance.

Memory

128,000

tokens

Max reply

32,000

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

tiktoken-o200k

Released

Dec 2025

Training cutoff

Jul 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • frontiermath_tier_4

    18.8

  • gpqa_diamond

    91.4

  • humanitys_last_exam

    27.8

  • scipredict

    20.58

  • swe_bench_verified

    73.76

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 Chat

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Code generation, review, or refactoring.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

GPT-5.2 Chat — 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

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, GPT-5.2 Chat costs roughly $691 per month. Input is $1.75 /1M tokens and output is $14.00 /1M tokens.
GPT-5.2 Chat has a 128,000-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,000 words of input and history in a single call.
Beyond text generation, GPT-5.2 Chat supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GPT-5.2 Chat was released in December 2025, with training data cut off around July 2025.
Models in a similar class include GPT-5.2, GPT-5.2-Codex, GPT-5.3 Chat. The "Similar models" section below this FAQ links into each.

Still unsure?

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