llm-benchmarks
githubdrose.io

Mistral-Small-3.2-24B-Instruct-2506 Benchmarks


Measured on deepinfra

41 runs
deepinfra site
Avg Tokens / Second
21.70
Avg Time to First Token (ms)
0.00
Runs Analysed
41
Last Updated
Aug 5, 2026, 04:45 PM

Throughput distribution

  • Mistral-Small-3.2-24B-Instruct-2506 deepinfra22 tok/s
02550

Visible-token throughput, same basis as the table · curves normalised per model

Throughput over time

Mistral-Small-3.2-24B-Instruct-2506deepinfra1tok/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 · shared vertical scale, 0 to 28 tok/s (99th percentile) · dashed rule is the model's own mean · 1 samples above the ceiling drawn at it

Every provider serving this model

1 measured
ProviderModelAvg Toks/SecMinMaxAvg TTF (ms)
deepinfraMistral-Small-3.2-24B-Instruct-250621.703.3051.900.00

Frequently Asked Questions

How fast is Mistral-Small-3.2-24B-Instruct-2506?
The latest rolling average throughput is 21.70 tokens per second with an average time to first token of 0.00 ms across 41 recent runs.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Aug 5, 2026, 04:45 PM.