OpenAI

GPT-5.3-Codex

Tool callingStructured outputReasoningImage inputFile input

Coding-optimized GPT model for repository edits, reviews, and agentic software work

Context
400K
Released
8mo ago
Input / 1M tokens
$1.75
Output / 1M tokens
$14.00
Cached input / 1M tokens
$0.18

Sources:models.devOpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

Other published benchmarks

EvaluationReported score and source
SWE-Bench verified
74.8%
Epoch AI · gpt-5.3-codex_high
Reasoning effort: high
Epoch AI evaluation
Terminal Bench
70.3%
Third-party evaluator · gpt-5.3-codex
Agent: CodeBrain-1
External evaluation via Epoch AI
Original-source terms apply
Terminal Bench
75.8%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · gpt-5.3-codex
Agent: CodeBrain-1.5
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
75.7%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · gpt-5.3-codex
Agent: Codelia
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
77.3%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · gpt-5.3-codex
Agent: Droid
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
69.1%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · gpt-5.3-codex
Agent: IndusAGI Coding Agent
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
74.6%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · gpt-5.3-codex
Agent: Mux
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
78.4%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · gpt-5.3-codex
Agent: SageAgent
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
75.1%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · gpt-5.3-codex
Agent: Simple Codex
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
64.7%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · gpt-5.3-codex
Agent: Terminus 2
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
71.5%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · gpt-5.3-codex
Agent: spoox-o-m
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Specifications

Developer
OpenAI
Model family
GPT
Type
Language model
Predecessor
—
Successor
—
Released
February 5, 2026
Model ID
openai/gpt-5.3-codex
Openness
Closed
License
—
Input modalities
text, image, file
Output modalities
text
Modality
text+image+file->text
Tokenizer
GPT
Max output tokens
128K
Knowledge cutoff
2025-08-31
Hugging Face
—
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
openai/gpt-5.3-codex
Source family
gpt-codex
Last updated
2026-02-05
Knowledge cutoff
2025-08-31
Model context
400K
Maximum input
272K
Model output limit
128K
Open weights
No
File attachments
Yes
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature control
Yes

Published benchmarks

BenchmarkScoreEvaluation detailsEvidence
SWE-Atlas Codebase QnA32.6 · scoreCodexSource
SWE-Atlas Refactoring42.38 · scoreCodexSource
SWE-Atlas Test Writing38.98 · scoreCodexSource
Complete source record (JSON)
{
  "id": "openai/gpt-5.3-codex",
  "name": "GPT-5.3 Codex",
  "description": "Coding-optimized GPT model for repository edits, reviews, and agentic software work",
  "family": "gpt-codex",
  "last_updated": "2026-02-05",
  "knowledge": "2025-08-31",
  "attachment": true,
  "reasoning": true,
  "tool_call": true,
  "structured_output": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text",
      "image",
      "pdf"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 400000,
    "input": 272000,
    "output": 128000
  },
  "benchmarks": [
    {
      "name": "SWE-Atlas Codebase QnA",
      "score": 32.6,
      "source": "https://labs.scale.com/leaderboard/sweatlas-qna",
      "metric": "score",
      "harness": "Codex"
    },
    {
      "name": "SWE-Atlas Refactoring",
      "score": 42.38,
      "source": "https://labs.scale.com/leaderboard/sweatlas-refactoring",
      "metric": "score",
      "harness": "Codex"
    },
    {
      "name": "SWE-Atlas Test Writing",
      "score": 38.98,
      "source": "https://labs.scale.com/leaderboard/sweatlas-tw",
      "metric": "score",
      "harness": "Codex"
    }
  ],
  "release_date": "2026-02-05",
  "open_weights": false
}

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
Azureazure400K$1.75$14.00$0.18—96.30%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai400K$1.75$14.00$0.18—100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai/fast400K$3.50$28.00$0.35——
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Text provenance

EU · product-scoped

OpenAI textGrain watermarking

In the EU, ChatGPT-generated text uses textGrain. OpenAI says API customers can opt in globally for select models, so watermarking depends on the product surface and configuration.

Official explanation