openai
OpenAI: GPT-5.6 Luna Pro (batch)
openai/gpt-5.6-luna-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-5.6-luna-pro:batch as the batch-served Pro variant of OpenAI's GPT-5.6 Luna, running the same underlying model with reasoning.mode set to pro for higher-quality responses on complex tasks. It accepts text, image, and file inputs and returns text, supports tool calls and structured outputs, offers selectable reasoning effort from none up to max, and provides a roughly one-million-token context window with a February 2026 knowledge cutoff. All details are catalog-reported; no independent model card was included in this source pack.[1]
Strengths
- Very large context window of about one million tokens, plus text, image, and file inputs, according to the OpenRouter catalog.[1]
- Configurable reasoning with effort levels from none to max, defaulting to medium; the catalog describes pro mode as aimed at higher-quality responses on complex tasks.[1]
- Supports tool calling, tool choice, structured outputs, response format, seed, and verbosity controls, per the catalog's listed request parameters.[1]
Limitations
- Evidence is catalog-only: this source pack contained no independent model card and no measured benchmark results, so capabilities are source-reported rather than verified.[1]
- The catalog's cost note states that pro mode spends far more, though the supplied text is truncated; real per-request spend should be validated on your workload.[1]
- Batch-specific serving behavior such as latency, throughput, and availability is not described in the supplied evidence and needs workload validation.[1]
Where to use it
- Editorial suggestion: complex analysis or long-document work that benefits from high reasoning effort and the large context window; validate quality and cost on your own tasks first.[1]
- Possible candidate for non-interactive batch jobs such as document processing with image or file inputs, given the batch listing; confirm actual batch behavior before adopting.[1]
- May fit pipelines that require structured outputs or tool calling, per the supported parameters; treat as a suggestion pending validation, not a proven result.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.6 Luna 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-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), 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-5.6-luna-pro:batch
- Canonical ID
- openai/gpt-5.6-luna-pro-20260709
- Creator
- openai
- Added to OpenRouter
- 09.07.2026
- 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 $0.100 / out $0.600
- Knowledge cutoff
- 16.02.2026
- 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: optional · default medium · efforts: max, xhigh, high, medium, low, none · 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: optional · default medium · efforts: max, xhigh, high, medium, low, none · 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 | $0.100 | $0.600 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.