openai
OpenAI: GPT-5.6 Luna Pro
openai/gpt-5.6-luna-pro
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter lists openai/gpt-5.6-luna-pro as an OpenAI text, image, and file input model that outputs text. The catalog describes it as the same underlying model as GPT-5.6 Luna, served in a pro reasoning mode intended to improve responses on complex tasks. It reports a large context window, configurable reasoning effort, tool calling, structured outputs, and a February 2026 knowledge cutoff. Because this source pack contains catalog data rather than an independent model card or measurements, validate quality, behavior, and cost on your workloads.[1]
Strengths
- Accepts text, image, and file inputs and produces text, according to the OpenRouter catalog.[1]
- Reasoning is enabled by default at medium effort and can be tuned across several levels, including none.[1]
- Reports a large context window and API controls for tools, structured outputs, verbosity, seed, and output length.[1]
Limitations
- Only OpenRouter catalog evidence was supplied; an independent model card was not available in this source pack.[1]
- The catalog's benchmark fields contain no usable measurements, so the listed features are not evidence of measured performance.[1]
- The catalog warns that pro reasoning mode can consume far more; confirm current pricing and usage before adoption.[1]
Where to use it
- Consider for complex analysis or multi-step problem solving where the catalog-described pro reasoning mode may justify added consumption.[1]
- Potentially suitable for document, image, or mixed-file workflows that require text output, pending task-level validation.[1]
- Consider for applications needing tool calls or structured responses within a large context window; test integration and output quality.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.6 Luna ProSources 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
- 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 $0.200 / 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 | 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 | — | — | — |
| 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 | — | — | — |
| OpenAI | 1,050,000 | $0.400 | $2.4 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.