llm-benchmarks
githubdrose.io

kimi-k3 Benchmarks


Measured on morph

352 runs
Avg Tokens / Second
4.05
Avg Time to First Token (ms)
11600.00
Runs Analysed
352
Last Updated
Aug 16, 2026, 03:58 PM

Throughput distribution

Throughput over time

kimi-k3fireworks10tok/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 58 tok/s (99th percentile) · dashed rule is the model's own mean · 2 further providers not drawn

Every provider serving this model

1 measured
ProviderModelAvg Toks/SecMinMaxAvg TTF (ms)
morphkimi-k34.054.054.0511600.00

Frequently Asked Questions

How fast is kimi-k3?
The latest rolling average throughput is 4.05 tokens per second with an average time to first token of 11600.00 ms across 352 recent runs.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Aug 16, 2026, 03:58 PM.

Related models