openai
OpenAI: GPT-6 Astra Pro (batch)
openai/gpt-6-astra-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-6-astra-pro:batch as an OpenAI text-output model that accepts text, image, and file inputs, with a reported context length of 1,050,000 tokens. It describes reasoning as mandatory and enabled by default at medium effort, with several selectable effort levels. The listing also reports tool calling, structured outputs, response formatting, seed, token, and verbosity controls. This source pack contains catalog data only; no independent model card or measured performance results were supplied.[1]
Strengths
Limitations
- Only OpenRouter catalog evidence was supplied; an independent model card was not available in this source pack.[1]
- No measured benchmark or evaluation results were provided, so performance should be validated on the intended workload.[1]
- Reasoning is mandatory, and the catalog does not report a non-reasoning mode or knowledge cutoff.[1]
Where to use it
- Potentially suitable for complex text tasks where always-on reasoning and adjustable effort are useful, subject to workload testing.[1]
- May fit applications that combine text, image, and file inputs and require text responses.[1]
- Could be evaluated for long-document or large-context workflows after confirming output quality and operational behavior.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-6 Astra 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-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...
Specifications
- Model ID
- openai/gpt-6-astra-pro:batch
- Canonical ID
- openai/gpt-6-astra-pro-20260903
- Creator
- openai
- Added to OpenRouter
- 04.09.2026
- 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 $5 / out $25
- 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: max, xhigh, high, medium, low · 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: max, xhigh, high, medium, low · 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 | $5 | $25 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.