openai
OpenAI: GPT-5.1-Codex-Mini
openai/gpt-5.1-codex-mini
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter's catalog presents openai/gpt-5.1-codex-mini as a smaller, faster version of GPT-5.1-Codex that produces text from text and image inputs. It reports always-on reasoning with medium default effort plus low and high options, a large context window, and API controls for tools, structured responses, seed, and verbosity. Because the supplied pack contains only catalog data and no independent model card, treat these as catalog-reported capabilities and validate behavior on your workloads.[1]
Strengths
- Accepts text and image inputs while producing text output, according to the catalog.[1]
- Reasoning is mandatory, with selectable low, medium, and high effort; medium is the listed default.[1]
- Cataloged request parameters include tools, structured outputs, response format, seed, verbosity, and completion-token limits.[1]
Limitations
- Only OpenRouter catalog evidence was supplied; an independent model card was not available in this source pack.[1]
- OpenRouter lists Design Arena measurements, but they do not establish suitability for a particular workflow; representative validation is still needed.[1]
- The source does not provide knowledge-cutoff, licensing, hardware-requirement, or safety-evaluation details.[1]
Where to use it
- Consider for coding or UI prototyping that may benefit from image inputs and configurable reasoning, subject to workload testing.[1]
- Potentially useful for API workflows that combine tools or structured outputs with text and image prompts.[1]
- May suit analysis of substantial mixed text-and-image context when text-only output is acceptable.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.1-Codex-MiniSources 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-Mini is a smaller and faster version of GPT-5.1-Codex
Specifications
- Model ID
- openai/gpt-5.1-codex-mini
- Canonical ID
- openai/gpt-5.1-codex-mini-20251113
- Creator
- openai
- Added to OpenRouter
- 13.11.2025
- Context length
- 400,000
- Modality
- text+image->text
- Input modalities
- image, text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.250 / out $2
- 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: 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: 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
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Design Arena | models · 3dwin rate 32.8% · rank 123 | 971Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · asciiartwin rate 43% · rank 62 | 1,100Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 41.5% · rank 113 | 1,084Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · datavizwin rate 40.6% · rank 103 | 1,095Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · gamedevwin rate 43.4% · rank 105 | 1,083Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · svgwin rate 35.3% · rank 95 | 970Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 41% · rank 109 | 1,072Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · websitewin rate 42.9% · rank 112 | 1,104Elo | CC — below the B band | 13.11.2026 |
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 | $0.250 | $2 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.