GPT-5.3-Codex

OpenAI released 2026-02-24 proprietary

$4.81 per million tokens, balanced

No independent quality score.

No benchmark we track has measured this model. That is not the same as measuring it and finding it wanting — we simply cannot rank it, so we do not.

Our take

editorial — not a measurement

A coding-specialised variant at $1.75/$14 with a 400k window. The asymmetry is the story: output costs 8x input, which is unusual and punishing for code generation specifically, since codegen is an output-heavy workload. Compare carefully against Kimi K2.7 Code ($0.67/$3.40) and Claude Sonnet 5 ($2/$10) on cost-per-completed-task rather than per token. Worth it if you are already inside OpenAI's Codex tooling; hard to justify on price alone.

Strengths

  • Purpose-tuned for coding workflows
  • 400k context window
  • Cached input at $0.175 makes repeated-repo context cheap

Weaknesses

  • $14 output on an output-heavy workload type
  • 8:1 output-to-input ratio is worse than most peers
  • Undercut heavily by Kimi K2.7 Code on price

Reach for it when

  • Teams already standardised on OpenAI Codex tooling
  • Repo-scale context with heavy cache reuse

Avoid it if

  • You generate large volumes of code output
  • You are price-comparing against open-weight coding models

Sources: developers.openai.com

Every price dimension

Input$1.75/M
Output$14.00/M
Cached input$0.175/M
Web search$0.01/call
Batch discount50%

Independent scores

No independent benchmark has measured this model.

Best rankings by task

  • godotgamedev #24of 43 1124
  • asciiart #31of 83 1178
  • androidnative #31of 54 1084

Capability

Context window400K
Max output128K
Input modestext, image, file
Tool useyes
Reasoningoptional
Open weightsno

Provenance

Price sourceopenrouter.ai
Fetched2026-08-24
Quality dataunrated
Cross-checkedvendor page

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results...

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