OpenAI
GPT-6.1 Sol
Total Context
1.1M
Max Output
128K
Released
N/A
gpt-5.3-codexGPT-5.3-Codex is OpenAI’s agentic coding model for Codex and similar development environments. It combines frontier software engineering performance with broader reasoning and professional knowledge, supports configurable reasoning effort, and is listed with a 400K context window and 128K max output tokens. OpenAI positions it as moving Codex beyond writing and reviewing code toward using computers, running terminal workflows, iterating on web apps, and handling real-world engineering tasks over long horizons.
Context Window
400K tokens
Maximum Output
128K tokens
Release Date
Feb 5, 2026
Modalities
| Input Price | Output Price | Cache Read |
|---|---|---|
| $1.75/M | $14/M | $0.175/M |
Reasoning
Tool calling
Temperature parameter
Attachments
Knowledge Base
Endpoint Protocols
GPT-5.3-Codex is specialized for agentic software engineering with adjustable reasoning, large code context and image-aware analysis.
Is optimized to plan, implement and verify coding tasks across multiple steps in Codex and similar development environments.
Uses a 400,000-token context window to reason across substantial codebases, specifications and development history.
Accepts screenshots and other image inputs so visual defects, interface references and rendered results can inform code changes.
GPT-5.3-Codex fits repository-wide implementation, multi-step debugging and software work that uses visual references.
Traces dependencies across files, plans coordinated edits and implements features while respecting existing architecture and conventions.
Investigates failures, forms hypotheses, applies fixes and runs relevant checks until the observed behavior is resolved.
Compares rendered interfaces with screenshots or design references, identifies discrepancies and updates the implementation.
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)GPT-5.3 Codex (xhigh)
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 44.3 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 53.1 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 91.5% |
| HLE | Broad expert-level exam set | 39.9% |
| Coding & Engineering | ||
| SciCode | Scientific coding challenges | 53.2% |
| Terminal-Bench Hard | Hard terminal task execution | 53.0% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 75.4% |
| AA-LCR | Long-context reasoning | 74% |
| τ²-Bench | Agent workflow tasks | 86.0% |
Metrics sourced from Artificial Analysis
GPT-5.3 Codex: capabilities, use cases, limits, and TokenHub guidance.
GPT-5.3 Codex is a OpenAI model for long-running agentic coding and repository work.
Best for repository-scale development, debugging and refactoring and research and synthesis, especially when software-engineering quality is the priority.
Key strength: agentic coding optimized for long-running research and execution.
Its coding specialization is less suitable for broad general conversation or multimodal analysis. For broad general or multimodal work is needed, consider GPT-5.5.
Use the exact ID shown by TokenHub; follow your account docs and verify current features.
Use one API key to access GPT-5.3 Codex and more AI models through TokenHub.
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