llm-benchmarks
githubdrose.io

GPT-3.5 Turbo 16k Benchmarks


Measured on openai

13 runs
openai site
Avg Tokens / Second
41.70
Decode Tokens / Second
Avg Time to First Token (ms)
1310.00
Runs Analysed
13
Last Updated
Aug 17, 2026, 01:44 AM

Throughput distribution

Throughput over time

GPT-3.5 Turbo 16kopenai45tok/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 48 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 · disabled41.7032.0060.901310.0013

Frequently Asked Questions

How fast is GPT-3.5 Turbo 16k?
The latest rolling average throughput is 41.70 tokens per second with an average time to first token of 1310.00 ms across 13 recent runs.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Aug 17, 2026, 01:44 AM.

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