llm-benchmarks
githubdrose.io

Muse Glimmer 30B Benchmarks


Measured on together

3 runs
together site
Avg Tokens / Second
13.00
Decode Tokens / Second
99.10
Avg Time to First Token (ms)
4430.00
Runs Analysed
3
Last Updated
Sep 20, 2026, 04:32 PM

Throughput distribution

Throughput over time

Muse Glimmer 30Btogether83tok/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 93 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
togethervia OpenRouter13.0010.3015.004430.003

Frequently Asked Questions

How fast is Muse Glimmer 30B?
The latest rolling average throughput is 13.00 tokens per second with an average time to first token of 4430.00 ms across 3 recent runs. Once tokens are flowing the decoder delivers about 99.10 tokens per second, measured from the gaps between stream chunks with time to first token and reasoning excluded.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Sep 20, 2026, 04:32 PM.