llm-benchmarks
githubdrose.io

llama-3.1-405b Benchmarks


Measured on deepinfra

12 runs
deepinfra site
Avg Tokens / Second
19.90
Decode Tokens / Second
Avg Time to First Token (ms)
0.00
Runs Analysed
12
Last Updated
Aug 12, 2026, 07:01 PM

Throughput distribution

Throughput over time

llama-3.1-405bdeepinfra21tok/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 24 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 · disabled19.9016.2023.100.0012

Frequently Asked Questions

How fast is llama-3.1-405b?
The latest rolling average throughput is 19.90 tokens per second with an average time to first token of 0.00 ms across 12 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, 07:01 PM.