llm-benchmarks
githubdrose.io

qwen-3.5-0.8b Benchmarks


Measured on deepinfra

8 runs
deepinfra site
Avg Tokens / Second
17.70
Decode Tokens / Second
Avg Time to First Token (ms)
0.00
Runs Analysed
8
Last Updated
Aug 12, 2026, 07:09 PM

Throughput distribution

Throughput over time

qwen-3.5-0.8bdeepinfra31tok/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 57 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
deepinfradirect · disabled17.708.4854.200.008

Frequently Asked Questions

How fast is qwen-3.5-0.8b?
The latest rolling average throughput is 17.70 tokens per second with an average time to first token of 0.00 ms across 8 recent runs.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Aug 12, 2026, 07:09 PM.