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 its price tier.
- By:
- OpenAI
- Input:
- Output:
- Context length:
- 1.05M
- Max output:
- 128K
- Published:
- 2026-07-10
Providers
Same model, different providers. Automatic routing picks the cheapest healthy one within the same quality tier.
| Provider | ||||
|---|---|---|---|---|
| 20% offazure | $0.2-0.4$0.16-0.32/1M tokens | $1.2-1.8$0.96-1.44/1M tokens | Read$0.02-0.04$0.016-0.032/1M tokensWrite$0.25-0.5$0.2-0.4/1M tokens | 1.05M |
| 50% offLowestamux-special | $0.2-0.4$0.1-0.2/1M tokens | $1.2-1.8$0.6-0.9/1M tokens | Read$0.02-0.04$0.01-0.02/1M tokensWrite$0.25-0.5$0.125-0.25/1M tokens | 1.05M |
Availability
24 hoursSuccess rate of the requests Amux actually sent to each provider. Client errors are excluded from the denominator — a malformed request isn't the provider's fault.
Throughput
24 hoursAverage output speed on streaming requests, in tokens per second (TPS).
Latency
24 hoursAverage time to first token (TTFT) on streaming requests — how long from sending a request to receiving its first token.
Activity
24 hoursToken usage and cost for this model over time, split by the provider that served each request.
Related models
More models from OpenAI