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Model details
gpt-5.6-luna-pro
GPT-5.6 Luna Pro is positioned as a reasoning-focused configuration built on top of the broader GPT-5.6 Luna model, with routing and listing infrastructure describing it as the same underlying model served with a "pro" reasoning mode aimed at producing more careful answers on complex tasks. Third-party catalogs attribute the model to the OpenAI brand lineage and present it alongside a sibling GPT-5.6 Luna entry, suggesting a family strategy that varies reasoning depth rather than retraining a new base model. The OpenRouter listing frames the Pro designation explicitly around higher-quality output on harder problems, while leaving the underlying weights and tokenizer unchanged from the base variant.
In practical terms, GPT-5.6 Luna Pro is aimed at users who want more deliberate analysis on long-form, multimodal inputs without stepping outside the familiar GPT-Luna workflow. Listings highlight image understanding alongside text handling, enabling workflows that mix documents, diagrams, or screenshots with extended written context. The model's wide context window, combined with function calling support, makes it well suited to agent-style tasks such as multi-step research, structured data extraction, and tool-augmented assistants where sustained reasoning across many turns is valuable. The "pro" reasoning setting is most beneficial for tasks where correctness and nuance matter more than raw throughput, such as analytical writing, code review, or detailed technical Q&A.
Quick Info
Powered by- Provider
- 302.AI
- Model key
- gpt-5.6-luna-pro
- Release date
- Jul 9, 2026
- Last updated
- Jul 9, 2026
- Knowledge cutoff
- 2026-02-16
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $0.20
- Output token cost
- $1.20
Limits
- Input tokens
- 922,000 tokens
- Output tokens
- 128,000 tokens
- Context window
- 1,050,000 tokens
Transparent token rates
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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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