openai
OpenAI: GPT-5.1
openai/gpt-5.1
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 (canonical slug openai/gpt-5.1-20251113) as OpenAI's frontier-grade release in the GPT-5 series, claiming stronger general-purpose reasoning, better instruction adherence and a more natural conversational style than GPT-5 via adaptive reasoning. Listed capabilities include text, image and file inputs with text output, a 400,000-token context window, tool calling, structured outputs and adjustable reasoning effort that is off by default. No independent model card was available in this source pack.[1]
Strengths
- Catalog-described gains: OpenRouter's description claims stronger general-purpose reasoning, improved instruction adherence and a more natural conversational style relative to GPT-5; this is a vendor-catalog claim, not a measurement made here.[1]
- Broad listed I/O and controls: the catalog records text, image and file inputs, text output, a 400,000-token context window, tool calling, structured outputs, seeds, verbosity control and optional reasoning effort levels.[1]
- Some measured signals exist: the catalog carries third-party design-arena entries and a coding index for this model; the figures live in the structured data, not in this prose.[1]
Limitations
- Evidence is catalog-only: all details come from OpenRouter's listing and no independent model card was included, so claimed improvements over GPT-5 remain unverified.[1]
- The listed output is text-only and the knowledge cutoff is not reported; image or file generation should not be assumed.[1]
- Catalog benchmark entries have not been independently confirmed; validate quality, cost and behavior on your own workloads before adoption.[1]
Where to use it
- A candidate for tool-using or agentic applications, given the catalog's listed support for tools, structured outputs and configurable reasoning effort; pilot on representative tasks first.[1]
- Plausible fit for long-document or mixed-media analysis, since the catalog lists file and image inputs plus a large context window; confirm accuracy on your content.[1]
- General-purpose assistant workloads where the claimed instruction adherence and conversational quality may help; treat those claims as provisional until independently tested.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.1Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...
Specifications
- Model ID
- openai/gpt-5.1
- Canonical ID
- openai/gpt-5.1-20251113
- Creator
- openai
- Added to OpenRouter
- 13.11.2025
- Context length
- 400,000
- Modality
- text+image+file->text
- Input modalities
- image, text, file
- 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: optional · default medium · efforts: high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | BB — next 30% of the cohort | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · default medium · efforts: high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | input: file |
| 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 |
|---|---|---|---|---|
| Artificial Analysis | Coding index | 49.4 | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · 3dwin rate 43.7% · rank 112 | 1,044Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · asciiartwin rate 48.6% · rank 58 | 1,114Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 53% · rank 79 | 1,161Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 58% · rank 58 | 1,202Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 55.9% · rank 67 | 1,169Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 57.4% · rank 53 | 1,141Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 52.9% · rank 78 | 1,157Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · websitewin rate 54% · rank 77 | 1,180Elo | BB — next 30% of the cohort | 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) |
|---|---|---|---|---|---|---|
| OpenAI | 400,000 | $0.625 | $5 | — | — | — |
| Azure | 400,000 | $1.25 | $10 | — | — | 100% |
| OpenAI | 400,000 | $1.25 | $10 | — | — | 100% |
| Azure | 400,000 | $1.38 | $11 | — | — | — |
| OpenAI | 400,000 | $2.5 | $20 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.