openai
OpenAI: GPT-6 Luna (batch)
openai/gpt-6-luna: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 describes openai/gpt-6-luna:batch as an OpenAI GPT-6 Luna endpoint for text, image, and file inputs with text output, a context window, optional reasoning at several effort levels, and support for tools and structured responses. The catalog calls Luna the fast, cost-efficient member of the GPT-6 series, positioned below GPT-6 Sol, and associates it with high-volume or latency-sensitive work. Evidence here is catalog-only; an independent model card and fuller benchmark coverage were not supplied.[1]
Strengths
- Source-reported positioning: OpenRouter describes Luna as the fast, cost-efficient GPT-6 option, positioned below GPT-6 Sol.[1]
- Accepts text, image, and file inputs and produces text, with a catalog-listed context window.[1]
- Reasoning can be enabled or disabled and tuned across multiple effort levels; the endpoint also lists tool calling, structured output, seed, response format, and verbosity controls.[1]
Limitations
- Only an OpenRouter catalog record was supplied; an independent model card was not available in this source pack.[1]
- Benchmark evidence is sparse: the record has one populated intelligence index, while coding, agentic, and design-arena fields are empty or null.[1]
- The sources do not document batch-specific execution behavior, service-level limits, knowledge cutoff, licensing, or deployment requirements.[1]
Where to use it
- Potentially suitable for high-volume chat or classification where the provider's stated speed and cost profile matters; validate quality on the target workload.[1]
- Consider for text-producing workflows that inspect text, images, or files, subject to validating context and file-handling requirements.[1]
- Could support lightweight agentic or structured-output applications using the listed tool and response controls, after testing reasoning-effort choices.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-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-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...
Specifications
- Model ID
- openai/gpt-6-luna:batch
- Canonical ID
- openai/gpt-6-luna-20260922
- Creator
- openai
- Added to OpenRouter
- 22.09.2026
- 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 $0.050 / out $0.250
- 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 | BB — next 30% of the cohort | 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
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Intelligence index | 27.9 | BB — next 30% 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 | $0.050 | $0.250 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.