llm-benchmarks
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Mistral Small 3.2 24B Benchmarks


Measured on venice

2 runs
Avg Tokens / Second
32.00
Decode Tokens / Second
42.80
Avg Time to First Token (ms)
510.00
Runs Analysed
2
Last Updated
Oct 11, 2026, 05:24 PM

Throughput distribution

Throughput over time

Mistral Small 3.2 24Bvenice32tok/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 54 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
venicedirect32.0012.5051.50510.002
venicevia OpenRouter15.6015.6015.60850.001

Frequently Asked Questions

How fast is Mistral Small 3.2 24B?
The latest rolling average throughput is 32.00 tokens per second with an average time to first token of 510.00 ms across 2 recent runs. Once tokens are flowing the decoder delivers about 42.80 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 11, 2026, 05:24 PM.

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