llm-benchmarks
githubdrose.io

GPT-6 Luna Pro Benchmarks


Measured on azure

2 runs
azure site
Avg Tokens / Second
83.80
Decode Tokens / Second
—
Avg Time to First Token (ms)
21900.00
Runs Analysed
2
Last Updated
Nov 4, 2026, 10:25 AM

Throughput distribution

Throughput over time

GPT-6 Luna Proazure89tok/s

Generated throughput, including reasoning tokens — so a thinking model's line does not collapse; the table ranks on visible tokens · one cell per model, showing its best-covered provider · models with at least 4 samples in the window first, fastest of those at the top · shared vertical scale, 0 to 96 tok/s (99th percentile) · dashed rule is the model's own mean · 1 cell carry fewer than 4 samples

Every lane measuring this model

1 measured · live first · a lane is a provider, a catalogue id and a transport
ProviderLaneAvg Toks/SecMinMaxAvg TTF (ms)n
azurevia OpenRouter83.8081.6086.1021900.002

Frequently Asked Questions

How fast is GPT-6 Luna Pro?
The latest rolling average throughput is 83.80 tokens per second with an average time to first token of 21900.00 ms across 2 recent runs.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Nov 4, 2026, 10:25 AM.

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