llm-benchmarks
githubdrose.io

Qwen3.8 2.4T A95B Benchmarks


Measured on alibaba

2 runs
Avg Tokens / Second
3.22
Decode Tokens / Second
39.30
Avg Time to First Token (ms)
18800.00
Runs Analysed
2
Last Updated
Oct 14, 2026, 05:33 AM

Throughput distribution

Throughput over time

Qwen3.8 2.4T A95Balibaba30tok/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 32 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
alibabavia OpenRouter3.223.193.2518800.002

Frequently Asked Questions

How fast is Qwen3.8 2.4T A95B?
The latest rolling average throughput is 3.22 tokens per second with an average time to first token of 18800.00 ms across 2 recent runs. Once tokens are flowing the decoder delivers about 39.30 tokens per second, measured from the gaps between stream chunks with time to first token and reasoning excluded.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Oct 14, 2026, 05:33 AM.

Related models