OpenAI: GPT-5.2 Chat

Public pricingIntelligence 82/100Medium memory비전도구 활용

OpenAI: GPT-5.2 Chat은 멀티모달 추론과 분석에 맞춘 멀티모달 모델입니다. 멀티모달 입력 처리、깊은 추론과 계획, 128K tokens의 컨텍스트, 균형형 비용 특성을 결합해 멀티모달 추론과 분석에서 안정적인 작업을 돕습니다. 특히 지연, 비용, 처리량가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

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.

  • swe_bench_verified

    73.76

  • frontiermath_tier_4

    18.8

  • gpqa_diamond

    91.4

  • scipredict

    20.58

  • humanitys_last_exam

    27.8

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.

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