OpenAI: GPT-5.3-Codex

Public pricingIntelligence 83/100Large memory비전심층 추론도구 활용

OpenAI: GPT-5.3-Codex은 코딩, 소프트웨어 엔지니어링, 에이전트 워크플로에 맞춘 멀티모달 모델입니다. 멀티모달 입력 처리、강력한 코딩 성능, 400K tokens의 컨텍스트, 균형형 비용 특성을 결합해 코딩, 소프트웨어 엔지니어링, 에이전트 워크플로에서 안정적인 작업을 돕습니다. 특히 정확도, 문맥, 제어가 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.

Input

$1.75/1M

Output

$14.00/1M

Cached

$0.17/1M

Batch

$0.88/1M

Calculate your GPT-5.3-Codex bill.

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What would GPT-5.3-Codex cost you?

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Technical specifications

GPT-5.3-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

Feb 2026

Training cutoff

Jul 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • gpqa_diamond

    91.5

  • aa_intelligence_index

    54

  • swe_bench_verified

    74.79

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

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