llm-benchmarks
githubdrose.io

gpt-4-turbo Benchmarks


Measured on openai

191 runs
openai site
Avg Tokens / Second
20.00
Decode Tokens / Second
41.30
Avg Time to First Token (ms)
1670.00
Runs Analysed
191
Last Updated
Sep 5, 2026, 12:19 PM

Throughput distribution

Throughput over time

gpt-4-turboopenai19tok/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 32 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
openaidirect20.008.3330.901670.00191
openaivia OpenRouter22.1019.6026.001290.0021

Frequently Asked Questions

How fast is gpt-4-turbo?
The latest rolling average throughput is 20.00 tokens per second with an average time to first token of 1670.00 ms across 191 recent runs. Once tokens are flowing the decoder delivers about 41.30 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 5, 2026, 12:19 PM.

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