openai
OpenAI: GPT-5.6 Luna
openai/gpt-5.6-luna
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 is an OpenAI text, image, and file input model that returns text. The listing positions it as a fast, cost-efficient option in the GPT-5.6 series for high-volume, latency-sensitive work, while also listing configurable reasoning controls, tool use, structured outputs, seed, and verbosity. OpenRouter provides benchmark index values, but this pack does not include an independent model card, so those measurements and the stated capabilities still require validation on the intended workload.[1]
Strengths
- The catalog combines a large context window with text, image, and file inputs and text output.[1]
- Its listing advertises configurable reasoning effort plus API controls for tools, structured outputs, seed, verbosity, and token limits.[1]
- OpenRouter describes it as fast and cost-efficient for high-volume, latency-sensitive tasks; this is a catalog claim rather than workload proof.[1]
Limitations
- The only evidence is the OpenRouter catalog; an independent model card was not available in this source pack.[1]
- Its catalog benchmark index values have no methodology or task-level detail here, so they are not enough to predict results on a specific workload.[1]
- The pack does not document licensing, safety behavior, deployment constraints, or observed failure modes; those remain unknown rather than confirmed weaknesses.[1]
Where to use it
- Potentially useful for high-volume chat or classification where latency and cost matter, pending application-level testing.[1]
- May fit lightweight agentic workflows that use tool calls and adjustable reasoning, subject to reliability checks.[1]
- Worth evaluating for prompts combining text, images, or files when only text output is needed.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.6 LunaSources 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
- 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 $0.200 / out $1.2
- 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 | — | — | 100% |
| Amazon Bedrock | 1,050,000 | $0.200 | $1.2 | — | — | 100% |
| Azure | 1,050,000 | $0.200 | $1.2 | — | — | 100% |
| OpenAI | 1,050,000 | $0.200 | $1.2 | — | — | 100% |
| Azure | 1,050,000 | $0.220 | $1.32 | — | — | 100% |
| Amazon Bedrock | 1,050,000 | $0.220 | $1.32 | — | — | 100% |
| Azure | 1,050,000 | $0.220 | $1.32 | — | — | 100% |
| OpenAI | 1,050,000 | $0.400 | $2.4 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.