llm-benchmarks
githubdrose.io

Kimi K2.7 Code Benchmarks


Measured on modelrun

6 runs
Avg Tokens / Second
27.20
Decode Tokens / Second
—
Avg Time to First Token (ms)
2830.00
Runs Analysed
6
Last Updated
Sep 19, 2026, 05:19 PM

Throughput distribution

Throughput over time

Kimi K2.7 Codemodelrun120tok/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 166 tok/s (99th percentile) · dashed rule is the model's own mean

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
modelrunvia OpenRouter27.207.9143.702830.006

Frequently Asked Questions

How fast is Kimi K2.7 Code?
The latest rolling average throughput is 27.20 tokens per second with an average time to first token of 2830.00 ms across 6 recent runs.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Sep 19, 2026, 05:19 PM.

Related models