openai
OpenAI: GPT-5.6 Luna (batch)
openai/gpt-5.6-luna:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to the OpenRouter catalog, openai/gpt-5.6-luna:batch is OpenAI's batch-designated GPT-5.6 Luna variant. The catalog describes it as a fast, cost-efficient member of the GPT-5.6 series for high-volume, latency-sensitive tasks, with optional reasoning enabled by default at medium effort and adjustable effort levels. It lists text, image, and file inputs producing text, tool and structured-output support, a long context window, and a February 16, 2026 knowledge cutoff. An independent model card was not available in this source pack.[1]
Strengths
- The catalog lists text, image, and file inputs with text output for text-generating tasks.[1]
- Reasoning can be enabled or disabled and tuned across several effort levels; medium is the catalog default.[1]
- Requests support tools, tool choice, structured outputs, response formatting, seed, verbosity, and token limits.[1]
Limitations
- The only evidence is an OpenRouter catalog entry; no independent model card was supplied, so capabilities and performance need workload validation.[1]
- Output is limited to text, and the catalog does not specify supported file types, batch behavior, service commitments, or operational constraints.[1]
- The source includes benchmark index fields without methodology or test conditions; they should not be treated as proof for a specific application.[1]
Where to use it
- Consider for high-volume chat, classification, or lightweight agentic workflows, as OpenRouter suggests, after testing accuracy and latency.[1]
- Potentially useful where text, image, and file inputs are accepted and text responses need tools or structured formatting.[1]
- May fit batch-oriented processing of long or document-rich prompts, given the listed context size, if batch behavior and quality are confirmed.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.6 Luna (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 is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
Specifications
- Model ID
- openai/gpt-5.6-luna:batch
- Canonical ID
- openai/gpt-5.6-luna-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 | BB — next 30% of the cohort | reasoning: optional · default medium · efforts: max, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | AA — next 20% of the cohort | — |
| Agents | AA — next 20% of the cohort | 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
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Intelligence index | 23.8 | BB — next 30% of the cohort | 13.11.2026 |
| Artificial Analysis | Coding index | 71.4 | AA — next 20% of the cohort | 13.11.2026 |
| Artificial Analysis | Agentic index | 42.1 | AA — next 20% of the cohort | 13.11.2026 |
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.