GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
Pricing
Input Modalities
- Text
- Vision
Output Modalities
- Text
Context length
- 1.05M tokens
Max output
- 128K tokens
Capabilities
- Thinking
- Streaming
- Tool calling
- Web search
- URL context
- Code interpreter
- Computer use
- File search
- Memory tool
- Structured outputs
- Citations
- Prompt caching
- Background mode
- Server-side sessions
Providers
Azure gpt-5.6-luna
Pricing$0.200$1.200
Cache Read$0.02/M tokens
Cache Write$0.25/M tokens
Web Search$0.01/request
Pricing$0.400$1.800
Cache Read$0.04/M tokens
Cache Write$0.5/M tokens
Web Search$0.01/request
Context1M
Max output128K
Latency5.7S
Throughput38.3TPS
Uptime
99.58% uptime 2 days ago
99.97% uptime yesterday
99.62% uptime today
OpenAI gpt-5.6-luna
Pricing$0.200$1.200
Cache Read$0.02/M tokens
Cache Write$0.25/M tokens
Web Search$0.01/request
Pricing$0.400$1.800
Cache Read$0.04/M tokens
Cache Write$0.5/M tokens
Web Search$0.01/request
Context1M
Max output128K
Latency4.3S
Throughput101.5TPS
Uptime
95.01% uptime 2 days ago
99.33% uptime yesterday
100.00% uptime today
Performance for gpt-5.6-luna
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Latency
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Throughput
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