llm-benchmarks
githubdrose.io

Schematron V2 Turbo Benchmarks


Measured on inferencenet

3 runs
Avg Tokens / Second
22.70
Decode Tokens / Second
Avg Time to First Token (ms)
1840.00
Runs Analysed
3
Last Updated
Sep 13, 2026, 12:47 AM

Throughput distribution

Throughput over time

Schematron V2 Turboinferencenet25tok/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 34 tok/s (99th percentile) · dashed rule is the model's own mean · 1 cell carry fewer than 4 samples

Every lane measuring this model

2 measured · live first · a lane is a provider, a catalogue id and a transport
ProviderLaneAvg Toks/SecMinMaxAvg TTF (ms)n
inferencenetvia OpenRouter22.709.0032.601840.003
inferencenetdirect37.9037.9037.901440.001

Frequently Asked Questions

How fast is Schematron V2 Turbo?
The latest rolling average throughput is 22.70 tokens per second with an average time to first token of 1840.00 ms across 3 recent runs.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Sep 13, 2026, 12:47 AM.

Related models