llm-benchmarks
githubdrose.io

gpt-3.5-turbo-1106 Benchmarks


Measured on openai

17 runs
openai site
Avg Tokens / Second
36.50
Decode Tokens / Second
131.00
Avg Time to First Token (ms)
1360.00
Runs Analysed
17
Last Updated
Aug 12, 2026, 03:02 PM

Throughput distribution

Throughput over time

gpt-3.5-turbo-1106openai42tok/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 60 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
openaidirect · disabled36.5023.8057.401360.0017

Frequently Asked Questions

How fast is gpt-3.5-turbo-1106?
The latest rolling average throughput is 36.50 tokens per second with an average time to first token of 1360.00 ms across 17 recent runs. Once tokens are flowing the decoder delivers about 131.00 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 Aug 12, 2026, 03:02 PM.

Related models