OpenAI: GPT-5.2

Public pricingIntelligence 78/100Large memory視覚深い思考ツール利用

OpenAI: GPT-5.2 は マルチモーダル モデルで、推論、計画、自動化 に向いています。マルチモーダル入力処理、安定したツール利用とエージェント動作、400K tokensのコンテキスト、バランス型コストの特性を組み合わせ、reasoning, planning, and multi-step automation で安定した動作を支えます。品質・速度・コスト が重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

Input

$1.75/1M

Output

$14.00/1M

Cached

$0.17/1M

Batch

$0.44/1M

Calculate your GPT-5.2 bill.

Set your workload — see cost at your exact volume.

What would GPT-5.2 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

GPT-5.2 at a glance.

Memory

400,000

tokens

Max reply

128,000

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

tiktoken-o200k

Released

Dec 2025

Training cutoff

Aug 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    51

  • frontiermath_tier_4

    18.8

  • gpqa_diamond

    71.2

  • humanitys_last_exam

    27.8

  • mmlu

    81.4

  • 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

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

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

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

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, GPT-5.2 costs roughly $691 per month. Input is $1.75 /1M tokens and output is $14.00 /1M tokens.
GPT-5.2 has a 400,000-token context window (large memory — an entire book or large codebase). That means you can fit about 75,000 words of input and history in a single call.
Beyond text generation, GPT-5.2 supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GPT-5.2 was released in December 2025, with training data cut off around August 2025.
Models in a similar class include GPT-5.2-Codex, GPT-5.3-Codex, o3. The "Similar models" section below this FAQ links into each.

Still unsure?

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