OpenAI: GPT-5.2-Codex

Public pricingIntelligence 82/100Large memoryالرؤيةتفكير عميقاستخدام الأدوات

OpenAI: GPT-5.2-Codex هو نموذج متعدد الوسائط مخصص لـالبرمجة وهندسة البرمجيات وسير عمل الوكلاء. يجمع بين معالجة الإدخال متعدد الوسائط، أداء قوي في البرمجة وسياق بحجم 400K tokens وملف متوازن التكلفة لتقديم عمل موثوق في البرمجة وهندسة البرمجيات وسير عمل الوكلاء. وهو خيار عملي عندما تكون الجودة والسرعة والتكلفة مهمة، خصوصًا للفرق التي تحتاج إلى مخرجات ثابتة ونشر مرن ومساحة للتوسع.

Input

$1.75/1M

Output

$14.00/1M

Cached

$0.17/1M

Batch

$0.88/1M

Calculate your GPT-5.2-Codex bill.

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What would GPT-5.2-Codex cost you?

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Technical specifications

GPT-5.2-Codex 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

Jan 2026

Training cutoff

Jul 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • gpqa_diamond

    89.9

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-Codex

  • 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-Codex — 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-Codex costs roughly $691 per month. Input is $1.75 /1M tokens and output is $14.00 /1M tokens.
GPT-5.2-Codex 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-Codex 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-Codex was released in January 2026, with training data cut off around July 2025.
Models in a similar class include GPT-5.2, GPT-5.3-Codex, o3. The "Similar models" section below this FAQ links into each.

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