openai
OpenAI: GPT-5.5 Pro (batch)
openai/gpt-5.5-pro:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to OpenRouter's catalog, openai/gpt-5.5-pro:batch is OpenAI's batch variant of GPT-5.5 Pro, described as a high-capability model aimed at deep reasoning on complex, high-stakes workloads. The listing reports a context window of about 1.05M tokens (roughly 922K input, 128K output), text, image, and file inputs with text-only output, and mandatory reasoning with medium, high, and xhigh effort settings. Tool calling and structured outputs appear as supported parameters. No independent model card or measured benchmark data was available in this source pack.[1]
Strengths
- OpenRouter's catalog reports a context window of about 1.05M tokens, with roughly 922K tokens of input and 128K tokens of output capacity.[1]
- Accepts text, image, and file inputs, so it can be applied to multimodal document and visual analysis tasks.[1]
- Reasoning effort is configurable across medium, high, and xhigh levels, and the catalog lists tool calling and structured output parameters as supported.[1]
Limitations
- All evidence comes from OpenRouter's catalog listing; no independent model card or measured benchmark results were included, so reported capabilities should be validated on real workloads.[1]
- Output is limited to text according to the listed modalities.[1]
- Reasoning is marked as mandatory in the catalog, so it cannot be disabled.[1]
Where to use it
- Potentially suited to analyzing very long documents or codebases given the large reported context window; confirm quality on your own data first.[1]
- A reasonable candidate for non-interactive batch processing of many requests, as suggested by the :batch variant identifier.[1]
- The catalog positions it for complex, high-stakes reasoning tasks; treat this as a vendor claim and evaluate before production use.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.5 Pro (batch)Sources 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:batch
- 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 $15 / out $90
- 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 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.