openai
OpenAI: GPT-5.5 Pro
openai/gpt-5.5-pro
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-5.5-pro as an OpenAI model oriented toward deep reasoning and accuracy on complex, high-stakes work. The listing reports text, image, and file inputs with text output, a very large context window, mandatory reasoning with several effort levels, and support for tools, structured outputs, seed, and verbosity controls. No independent model card or measured benchmark results were included in this source pack, so the catalog's claims should be validated on the intended workload.[1]
Strengths
- Catalog-reported focus on deep reasoning and accuracy for complex, high-stakes workloads, paired with a very large context window.[1]
- Accepts text, image, and file inputs while producing text output.[1]
- Mandatory reasoning supports medium, high, and xhigh effort levels, alongside controls for tools, structured outputs, seed, and verbosity.[1]
Limitations
- Evidence is limited to OpenRouter's catalog; an independent model card was not available in this source pack, so reported capabilities are not independently corroborated.[1]
- The supplied listing contains no measured benchmark results, making real-world performance and comparative standing unknown.[1]
- Reasoning is mandatory according to the catalog, so teams needing a non-reasoning mode should verify whether this model fits their workflow.[1]
Where to use it
- Consider for complex analysis or other demanding tasks where catalog-described reasoning and a very large context may be useful, after workload validation.[1]
- Potentially suitable for document or image-based workflows that require textual answers, subject to testing with representative inputs.[1]
- May fit applications that need tool use or structured outputs, provided the required behavior is confirmed in integration tests.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.5 ProSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...
Specifications
- Model ID
- openai/gpt-5.5-pro
- Canonical ID
- openai/gpt-5.5-pro-20260423
- Creator
- openai
- Added to OpenRouter
- 24.04.2026
- Context length
- 1,050,000
- Modality
- text+image+file->text
- Input modalities
- file, image, text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $30 / out $180
- Knowledge cutoff
- 01.12.2025
- 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 · 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 · 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
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) |
|---|---|---|---|---|---|---|
| OpenAI | 1,050,000 | $15 | $90 | — | — | — |
| OpenAI | 1,050,000 | $30 | $180 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.