GPT-5.6 Luna

Fast tier of the GPT-5.6 family (GA July 9, 2026). Optimized for latency and cost while keeping strong agentic/tool-use scores (~82.5% TerminalBench). 90% cached-input discount.

GPT-5.6 Luna strengths

• Low latency and low cost
• Solid agentic tool use for its tier
• ~1M context window
• Good default for high-volume tasks

Pricing & context

Cost guide: a typical call of about 10K input + 2K output tokens costs roughly $0.022 at list prices. Worth modelling against cheaper tiers before committing high-volume traffic.

When to choose GPT-5.6 Luna

GPT-5.6 Luna is best for high-volume, latency-sensitive workloads and cheap agent loops where flagship depth isn't required. If your workload is more cost-sensitive, weigh it against gpt-oss-120b (≈$0.03 input /1M) first.

GPT-5.6 Luna FAQ

How much does GPT-5.6 Luna cost?

GPT-5.6 Luna is priced at $1.00 per 1M input tokens and $6.00 per 1M output tokens (public API list price), with a ~1M tokens (128K max output) context window. A typical call of about 10K input and 2K output tokens costs roughly $0.022.

What is GPT-5.6 Luna best for?

GPT-5.6 Luna by OpenAI is best for high-volume, latency-sensitive workloads and cheap agent loops where flagship depth isn't required.

How does GPT-5.6 Luna pricing compare to MiMo-V2.5?

GPT-5.6 Luna input costs $1.00 per 1M tokens versus $0.105 for MiMo-V2.5, roughly 9.5x more expensive on input. Output is $6.00 vs $0.28.

Is GPT-5.6 Luna multimodal?

GPT-5.6 Luna supports text, image.