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GPT-5.3 Codex

GPT-5.3 Codex marks a deliberate shift from a narrow coding assistant toward a more general work agent, merging the strengths of its two predecessors into a single model aimed at broader agentic tasks. Released by OpenAI in early February 2026 as a rapid counter to Anthropic's Claude Opus 4.6, it replaces the earlier GPT-5.2 and GPT-5.2-Codex lines and reframes the Codex family as a unified platform for sustained, multi-step work rather than code-only assistance. The model is designed to pair with the Codex app for macOS, enabling interactive, real-time collaboration where context is preserved across longer sessions, which makes it well suited to developers and technical teams who want an assistant that can stay coherent through extended projects.

In practical terms, third-party reviewers describe GPT-5.3 Codex as a meaningful step forward for agentic workflows, with eesel AI's review framing its benchmark trajectory as a leap in agentic skills and DataCamp positioning it as a move from coding helper to professional collaborator. That positioning suggests strong fit for teams building automated pipelines, orchestrating tools, or running long-horizon tasks where the model needs to plan, act, and iterate without losing thread. Because no official OpenAI release notes or model card were available in the supporting evidence, deeper technical specifications such as parameter counts, training data composition, or detailed benchmark numbers should be treated cautiously, but the qualitative story is consistent: a more capable, more interactive Codex built for general agentic work.

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Provider
FreeModel
Model key
gpt-5.3-codex
Release date
Feb 5, 2026
Last updated
Feb 5, 2026
Knowledge cutoff
2025-08-31
AI SDK package
@ai-sdk/openai-compatible
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.75
Output token cost
$14.00

Limits

Input tokens
272,000 tokens
Output tokens
128,000 tokens
Context window
400,000 tokens

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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