llm-benchmarks
githubdrose.io

llama-3.1-8b Benchmarks


Measured on groq

681 runs
groq site
Avg Tokens / Second
219.00
Avg Time to First Token (ms)
0.00
Runs Analysed
681
Last Updated
Aug 9, 2026, 06:49 AM

Throughput distribution

  • llama-3.1-8b groq219 tok/s
050100150200250300

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

Throughput over time

llama-3.1-8bgroq160tok/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 344 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)
groqllama-3.1-8b219.0074.40363.000.00

Frequently Asked Questions

How fast is llama-3.1-8b?
The latest rolling average throughput is 219.00 tokens per second with an average time to first token of 0.00 ms across 681 recent runs.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Aug 9, 2026, 06:49 AM.

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