OpenAIReleased on Feb 5, 2026

GPT-5.3 Codex: Benchmarks, Pricing & Context Window

GPT-5.3 Codex is a language model from OpenAI, released in February 2026, with multimodal input.

GPT-5.3-Codex is OpenAI's most capable coding model, combining frontier agentic coding capabilities, improvements in aesthetics, and context compaction. It sets new state-of-the-art results on Terminal-Bench 2.0 (77.3%), OSWorld-Verified

Input
TextImage
Output
Text

GPT-5.3 Codex pricing

Providers

GPT-5.3 Codex starts at $1.75 per million input tokens and $14.00 per million output tokens via OpenAI.

ProviderInput $/MOutput $/MMax InputMax OutputLatency sThroughputQuantInputOutput
OpenAI logoOpenAI
$1.75$14.00400.0K128.0K
0.97
58 c/s

GPT-5.3 Codex API

API access coming soon

GPT-5.3 Codex will be available through our gateway shortly.

GPT-5.3 Codex examples

Recent arena outputs from GPT-5.3 Codex, picked from the highest-ranked matchups.

GPT-5.3 Codex license

GPT-5.3 Codex is released under the Proprietary license, which restricts commercial use.

License
Proprietary
Non-commercial

Proprietary license - usage restrictions apply

FAQ

Common questions about GPT-5.3 Codex.

When was GPT-5.3 Codex released?

GPT-5.3 Codex was released on February 5, 2026 by OpenAI. This is the official GPT-5.3 Codex release date tracked on LLM Stats.

Is GPT-5.3 Codex available via API?

Yes, GPT-5.3 Codex is available via API. See the official documentation for authentication and endpoint details. It is served by 1 provider tracked on LLM Stats.

Who created GPT-5.3 Codex?

GPT-5.3 Codex was created by OpenAI.

What is the license for GPT-5.3 Codex?

GPT-5.3 Codex is released under the Proprietary license.

Is GPT-5.3 Codex multimodal?

Yes, GPT-5.3 Codex is multimodal and can accept both text and images as input.

Where can I use GPT-5.3 Codex?

GPT-5.3 Codex is available through 1 provider including OpenAI.

Where is the GPT-5.3 Codex paper or technical report?

GPT-5.3 Codex has a paper or technical report available at https://openai.com/index/introducing-gpt-5-3-codex/. Use that source for architecture, training, release and evaluation details.