llm-benchmarks
githubdrose.io

Muse Glimmer 30B Benchmarks


Measured on deepinfra

5 runs
deepinfra site
Avg Tokens / Second
16.50
Decode Tokens / Second
113.00
Avg Time to First Token (ms)
3400.00
Runs Analysed
5
Last Updated
Sep 3, 2026, 10:04 PM

Throughput distribution

Throughput over time

Muse Glimmer 30Bdeepinfra116tok/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 128 tok/s (99th percentile) · dashed rule is the model's own mean

Every lane measuring this model

2 measured · live first · a lane is a provider, a catalogue id and a transport
ProviderLaneAvg Toks/SecMinMaxAvg TTF (ms)n
deepinfravia OpenRouter16.5013.9018.203400.005
deepinfradirect19.6019.6019.602810.001

Frequently Asked Questions

How fast is Muse Glimmer 30B?
The latest rolling average throughput is 16.50 tokens per second with an average time to first token of 3400.00 ms across 5 recent runs. Once tokens are flowing the decoder delivers about 113.00 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 3, 2026, 10:04 PM.