openai
OpenAI: GPT-5 Pro (batch)
openai/gpt-5-pro:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenAI: GPT-5 Pro (batch) is the batch variant of OpenAI's GPT-5 Pro listed in the OpenRouter catalog, mapped to canonical model openai/gpt-5-pro-2025-10-06. According to the catalog, it accepts text, image and file inputs and produces text, with a 400,000-token context window and a knowledge cutoff of September 30, 2024. Reasoning is mandatory and fixed at high effort. OpenAI's catalog description presents it as its most advanced model for complex, step-by-step tasks; no independent model card or measured benchmark data was available in this source pack.[1]
Strengths
- The OpenRouter catalog lists a 400,000-token context window with text, image and file inputs and text output.[1]
- Catalog parameters include tools, structured outputs, response format, seed and verbosity, suggesting a configurable API surface.[1]
- Mandatory high-effort reasoning positions it for complex multi-step work; OpenAI's description claims improvements in reasoning and code quality.[1]
Limitations
- Evidence is catalog-only: no independent model card or measured benchmark results were available, so real-world performance on your workload remains unverified.[1]
- Reasoning cannot be disabled and only the high effort level is supported, which may raise latency and token usage; the catalog also lists an expiration date of December 11, 2026.[1]
- Output is limited to text; no other output modalities are listed.[1]
Where to use it
- Editorial suggestion: offline batch jobs over long documents or file collections that can tolerate deferred completion, using the large context window.[1]
- Editorial suggestion: agentic or tool-calling pipelines needing structured outputs and step-by-step reasoning, with validation on the target workload before adoption.[1]
- Editorial suggestion: bulk code review, analysis or summarization where per-request latency is not critical.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-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 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...
Specifications
- Model ID
- openai/gpt-5-pro:batch
- Canonical ID
- openai/gpt-5-pro-2025-10-06
- Creator
- openai
- Added to OpenRouter
- 06.10.2025
- Context length
- 400,000
- Modality
- text+image+file->text
- Input modalities
- image, text, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $7.5 / out $60
- Knowledge cutoff
- 30.09.2024
- Expiration date
- 11.12.2026
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 high · efforts: high · 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 high · efforts: high · 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 | 400,000 | $7.5 | $60 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.