
In February 2026, OpenAI introduced GPT-5.3-Codex-Spark, a research-preview variant of its Codex family that is explicitly optimized for real-time coding. Codex-Spark trades model size for extremely low latency and very high token throughput — OpenAI reports >1,000 tokens/sec generation and a 128k token context window for the model when served on a low-latency hardware path provided in partnership with Cerebras. The release targets interactive developer workflows: live coding, instant edits, tight edit–compile–run loops inside IDEs, and agentic coding workflows where responsiveness is crucial.

In February 2026, OpenAI released two closely related—but strategically different—members of the “Codex” family: GPT-5.3-Codex (a high-capability agentic coding model) and GPT-5.3-Codex-Spark (a smaller, ultra-low-latency variant optimized for interactive coding). Together they represent OpenAI’s dual approach to serving both “deep thinking” and “fast doing” in software engineering workflows: one model that pushes the ceiling of coding intelligence and tool-driven agentic behavior, and one that prioritizes real-time interactivity for developer-facing UI.

Both launches (Anthropic’s Claude Opus 4.6 and OpenAI’s GPT-5.3-Codex) advance agentic coding and long-context reasoning, but they pull in slightly different directions. Opus 4.6 leans into very large context windows, safety/analysis workflows, and a new “fast” mode; GPT-5.3-Codex doubles down on agentic software engineering benchmarks and tighter IDE/CLI integrations. The “better” model depends on what you need: huge-context, safety-first code review and long-running agents (Opus 4.6) — or marginally stronger raw coding benchmark performance, speed and immediate Codex integrations (GPT-5.3-Codex). See the deep dive below.

On February 5, 2026, OpenAI announced GPT-5.3 Codex, a focused upgrade to its Codex family that merges advanced coding ability with broader professional reasoning, faster inference, and deeper “agentic” workflows. The release brings a new Codex desktop app and extends access across the Codex ecosystem (CLI, IDE extensions, web), with API access (promised “soon").