GPT-5.3-Codex-Spark (Research Preview)
GPT-5.3-Codex-Spark is a coding model from OpenAI, released on 2026-02-12. It accepts text input and returns text output. The recorded context window is 128K. Cataloged capabilities include Multilingual and Coding model. The model weights are proprietary and are not published for download. The model is listed as a preview, so access and production terms may remain limited. Use the linked references to confirm current access, licensing, and provider-specific limits.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
GPT-5.3-Codex-Spark is a coding model from OpenAI, released on 2026-02-12.
It accepts text input and produces text output. Its cataloged capabilities include Multilingual and Coding model. The recorded context window is 128K.
The model is listed as a preview, so access and production terms may remain limited. The model weights are proprietary and are not published for download. The page links 1 release, model-card, repository, or provider references for checking the underlying claims. Specifications, availability, and prices can change; undisclosed values are intentionally left unstated.
GPT-5.3-Codex-Spark is a coding model from OpenAI, released on 2026-02-12. It accepts text input and returns text output. The recorded context window is 128K. Cataloged capabilities include Multilingual and Coding model. The model weights are proprietary and are not published for download. The model is listed as a preview, so access and production terms may remain limited. Use the linked references to confirm current access, licensing, and provider-specific limits.
The current model record lists text as input and text as output.
The recorded context window is 128K. Fields without a source-backed value remain undisclosed.
Research preview with limited partner access; OpenAI publishes no public list price.
The official release names coding evaluations but does not expose a stable structured numeric table for this research preview.
The model weights are proprietary and are not published for download. Review the linked license text before commercial or derivative use.
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