llm-benchmarks
githubdrose.io

Qwen3 Next 80B A3B Thinking Benchmarks


Measured on google

2 runs
google site
Avg Tokens / Second
10.70
Decode Tokens / Second
159.00
Avg Time to First Token (ms)
5590.00
Runs Analysed
2
Last Updated
Aug 18, 2026, 12:24 AM

Throughput distribution

Throughput over time

Qwen3 Next 80B A3B Thinkinggoogle146tok/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 153 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
googledirect10.7010.6010.805590.002

Frequently Asked Questions

How fast is Qwen3 Next 80B A3B Thinking?
The latest rolling average throughput is 10.70 tokens per second with an average time to first token of 5590.00 ms across 2 recent runs. Once tokens are flowing the decoder delivers about 159.00 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 Aug 18, 2026, 12:24 AM.

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