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Ranks providers by their recent typical output speed in tokens per second. Providers without enough recent data remain visible after ranked rows.
Azure currently ranks first at 145.0 tok/s via azure.
| Rank | Provider / route | Output speed | Speed measurements | Endpoint details |
|---|---|---|---|---|
| #1 | Provider / route Azure azure | Output speed145.0 tok/s | Speed measurements
| Endpoint details
|
| #2 | Provider / route Azure azure/eu | Output speed69.0 tok/s | Speed measurements
| Endpoint details
|
| #3 | Provider / route OpenAI openai | Output speed58.0 tok/s | Speed measurements
| Endpoint details
|
| — | Provider / route OpenAI openai/flex | Output speedInsufficient recent data | Speed measurements
| Endpoint details
|
| — | Provider / route OpenAI openai/priority | Output speedInsufficient recent data | Speed measurements
| Endpoint details
|
Endpoint data fetched .
GPT-5.6 Luna endpoint guide
3 of 5 GPT-5.6 Luna endpoints currently have the published data required for this ranking. Azure leads at 145.0 tok/s via azure. The table keeps unranked routes visible so missing measurements do not look like missing provider availability.
The output-speed ranking compares recent median generated tokens per second. It favors routes that complete long generations quickly, while first-token latency remains a separate measure of how responsive the endpoint feels at the beginning.
Azure currently ranks second at 69.0 tok/s. Compare that gap with input and output price, response-start time, output speed, 30-minute uptime, context length, and the exact route before deciding whether first place is meaningful for your workload.
GPT-5.6 Luna has 5 published provider options, and performance data is matched to each exact OpenRouter routing tag. Different quantization, context, regional deployment, or provider configuration can change price and behavior even when the underlying model name is identical.
