llm-benchmarks
githubdrose.io

Schematron V2 Small Benchmarks


Measured on inferencenet

2 runs
Avg Tokens / Second
64.50
Decode Tokens / Second
—
Avg Time to First Token (ms)
880.00
Runs Analysed
2
Last Updated
Oct 24, 2026, 06:00 AM

Throughput distribution

Throughput over time

Schematron V2 Smallinferencenet64tok/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 77 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
inferencenetvia OpenRouter64.5055.2073.70880.002

Frequently Asked Questions

How fast is Schematron V2 Small?
The latest rolling average throughput is 64.50 tokens per second with an average time to first token of 880.00 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 Oct 24, 2026, 06:00 AM.

Related models