llm-benchmarks
githubdrose.io

GLM 5.3 Benchmarks


Measured on sailresearch

5 runs
Avg Tokens / Second
29.70
Decode Tokens / Second
65.90
Avg Time to First Token (ms)
1000.00
Runs Analysed
5
Last Updated
Sep 7, 2026, 11:46 AM

Throughput distribution

Throughput over time

GLM 5.3sailresearch29tok/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 41 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
sailresearchvia OpenRouter29.7018.0038.601000.005

Frequently Asked Questions

How fast is GLM 5.3?
The latest rolling average throughput is 29.70 tokens per second with an average time to first token of 1000.00 ms across 5 recent runs. Once tokens are flowing the decoder delivers about 65.90 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 7, 2026, 11:46 AM.

Related models