OpenAI GPT-5.1-Codex-Max
OpenAI GPT-5.1-Codex-Max is an AI model published by OpenAI, released on 2025-11-19, for Coding model, and 400K context length, with a 161.75 score on METR Time Horizons v1.1.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $1.25/ 1M | $10.00/ 1M |
| Image | - | $1.25/ 1M | — |
| Type | TTL | Write | Read |
|---|---|---|---|
| Text | - | $0.0000/ 1M | $0.125/ 1M |
| Text | - | $0.0000/ 1M Cache = write | — |
| Text | - | — | $0.125/ 1M Cache = hit |
| Image | - | $0.0000/ 1M Cache = write | — |
| Image | - | — | $0.125/ 1M Cache = hit |
“—” means the modality is not billed in that direction, or the vendor has not published a price for it.
Benchmark Results
GPT-5.1-Codex-Max currently shows benchmark results led by Terminal-Bench (1 / 35, score 58.10), LiveBench (22 / 115, score 73.98), SWE-bench Verified (30 / 114, score 76.80). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Coding and Software Engineer
1 evaluationsAgent Level Benchmark
1 evaluationsPublisher
Model Overview
OpenAI GPT-5.1-Codex-Max is an AI model published by OpenAI, released on 2025-11-19, for Coding model, and 400K context length, with a 161.75 score on METR Time Horizons v1.1.
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