openai
OpenAI: GPT-5.2 Pro (batch)
openai/gpt-5.2-pro:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter’s catalog lists openai/gpt-5.2-pro:batch as an OpenAI batch-labeled variant with text, image, and file inputs, text output, a very large context window, mandatory reasoning, and support for tools and structured outputs. The catalog describes GPT-5.2 Pro as OpenAI’s most advanced model and claims major agentic-coding and long-context gains over GPT-5 Pro. These are source-reported claims; this pack contains no independent card or measured results.[1]
Strengths
- Accepts text, image, and file inputs while returning text, according to the OpenRouter catalog.[1]
- Lists a very large context window, making the entry potentially relevant to long-document workloads.[1]
- Reports support for tools, tool choice, structured outputs, response formatting, seed, verbosity, token limits, and medium, high, or xhigh reasoning effort.[1]
Limitations
- Only OpenRouter catalog evidence was supplied; an independent model card was not available, so vendor-facing claims require workload validation.[1]
- The source provides no measured benchmark results, safety evaluation, latency or reliability data, knowledge cutoff, or batch-execution details.[1]
- Reasoning is mandatory in the catalog listing, and the reported effort choices do not include a low or disabled setting.[1]
Where to use it
- Potentially suitable for complex agentic coding and multistep reasoning tasks, subject to task-specific validation.[1]
- Potentially useful for analyzing long or mixed text, image, and file inputs where the listed context capacity is needed.[1]
- May fit noninteractive production jobs that use tools or structured outputs, after confirming the undocumented batch semantics.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.2 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-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that require step-by-step reasoning,...
Specifications
- Model ID
- openai/gpt-5.2-pro:batch
- Canonical ID
- openai/gpt-5.2-pro-20251211
- Creator
- openai
- Added to OpenRouter
- 10.12.2025
- Context length
- 400,000
- Modality
- text+image+file->text
- Input modalities
- image, text, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $10.5 / out $84
- 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: 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 | 400,000 | $10.5 | $84 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.