llm-benchmarks
githubdrose.io

o1 Benchmarks


Measured on openai

34 runs
openai site
Avg Tokens / Second
49.30
Decode Tokens / Second
129.00
Avg Time to First Token (ms)
2300.00
Runs Analysed
34
Last Updated
Sep 11, 2026, 12:25 PM

Throughput distribution

Throughput over time

o1openai65tok/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 134 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
openaidirect49.305.77123.002300.0034

Frequently Asked Questions

How fast is o1?
The latest rolling average throughput is 49.30 tokens per second with an average time to first token of 2300.00 ms across 34 recent runs. Once tokens are flowing the decoder delivers about 129.00 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 11, 2026, 12:25 PM.

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