GPT-5.6 Luna
Current version: 5.6 updated
Fast and cost-efficient model of the GPT-5.6 series.
What's new in GPT-5.6 Luna 5.6
- 1.05M token context
- Fast, cost-efficient tier of the GPT-5.6 series
- Best price-to-speed ratio in the series
- 1 USD input, 6 USD output per million tokens
What it's the best tool for
- Roughly 200 tokens per second — well above class average
- 1.05M-token context fits long documents in one request
- Up to 128K output tokens per call
- Five times cheaper than the Sol flagship on input
- Six reasoning-effort levels from none to max
- Built for bulk pipelines: classification, tagging, extraction
When to reach for something else
- Trails Terra and Sol on complex multi-step reasoning
- More literal prompt interpretation than the bigger tiers
- Can oversimplify nuance when summarizing dense texts
- High reasoning effort erodes its main edge — speed
- OpenAI content filters on sensitive topics
How GPT-5.6 Luna responds
GPT-5.6 Luna
Four scenarios where it pays for itself
More about GPT-5.6 Luna
GPT-5.6 Luna Online — OpenAI's Fast, Low-Cost Model on NetRoom
GPT-5.6 Luna is the fastest and most cost-efficient model in OpenAI's GPT-5.6 series, released on July 9, 2026. It ships a 1.05M-token context window, up to 128K output tokens, and throughput of roughly 200 tokens per second — well above average for its class. On NetRoom you can run it online, straight in the browser, with simple pay-as-you-go billing and no subscription.
The GPT-5.6 family in short
On July 9, 2026 OpenAI opened public access to three tiers: Sol, the flagship for hard coding and agents; Terra, the balanced everyday workhorse; and Luna, the speed-and-price play. All three share the same 1.05M context window and six reasoning-effort levels from none to max. Luna costs five times less than Sol and two and a half times less than Terra on input tokens — with the exact same context size.
When Luna is the right pick
Luna is built for high-volume, latency-sensitive work: support chats, intent classification and routing, data extraction, tagging, and batch drafting of emails or product copy. Its million-token context is a standout for summarization — entire books, reports and logs fit into a single request, so there is no need for a chunking pipeline.
Where it falls short
Multi-step reasoning, nuanced analysis and complex code remain the territory of the bigger tiers. If your task keeps demanding high reasoning effort, that is a signal to move up to Terra or Sol. But for a firehose of simple requests, running a flagship is wasted budget — Luna handles the same routine scenarios at a fraction of the cost.
How to start
Sign up on NetRoom, top up your balance and pick GPT-5.6 Luna from the catalog. You pay per token, and you can switch between Luna, GPT-5.5 and other models in one click right inside the chat to compare answers on your own task.
Version history of GPT-5.6 Luna
| Version | Date | What changed |
|---|---|---|
| 5.6 current |
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