openai
OpenAI: GPT-5.1-Codex-Max
openai/gpt-5.1-codex-max
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to the OpenRouter catalog, openai/gpt-5.1-codex-max is OpenAI's latest agentic coding model, described as built for long-running, high-context software development tasks on an updated 5.1 reasoning stack. It accepts text and image input, produces text, and lists a 400,000-token context. Reasoning is mandatory with configurable effort levels, and the catalog reports support for tool calling, structured outputs, seed, and verbosity controls. No benchmark results were reported, and an independent model card was not available in this source pack.[1]
Strengths
- The catalog describes it as built for long-running, high-context software development and lists a 400,000-token context window.[1]
- Accepts text and image inputs with text output, and lists tool calling and structured outputs among supported parameters.[1]
- Reasoning is always on with selectable effort levels (low through xhigh), plus seed and verbosity controls.[1]
Limitations
- Evidence is catalog-only: no benchmark scores, knowledge cutoff, or independent model card were available in this source pack, so capabilities are source-reported rather than measured.[1]
- Reasoning is marked mandatory in the catalog and cannot be disabled; only the effort level is configurable.[1]
- Suitability for any real workload should be validated with hands-on testing before adoption.[1]
Where to use it
- A plausible fit for agentic, multi-step coding workflows and tool-using assistants, given the catalog's design description; worth validating on real tasks.[1]
- Potentially useful for reviewing or analyzing large repositories given the listed long context; image input may help with diagrams or screenshots.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.1-Codex-MaxSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic...
Specifications
- Model ID
- openai/gpt-5.1-codex-max
- Canonical ID
- openai/gpt-5.1-codex-max-20251204
- Creator
- openai
- Added to OpenRouter
- 04.12.2025
- Context length
- 400,000
- Modality
- text+image->text
- Input modalities
- text, image
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $1.25 / out $10
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: mandatory · default medium · efforts: xhigh, high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · default medium · efforts: xhigh, high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | — |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Azure | 400,000 | $1.25 | $10 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.