llm-benchmarks
githubdrose.io

claude-opus-4.8-fast Benchmarks


Measured on anthropic

4 runs
anthropic site
Avg Tokens / Second
37.00
Decode Tokens / Second
—
Avg Time to First Token (ms)
990.00
Runs Analysed
4
Last Updated
Oct 13, 2026, 02:00 AM

Throughput distribution

Throughput over time

claude-opus-4.8-fastanthropic stopped37tok/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

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
anthropicdirect · disabled37.0017.8046.10990.004

Frequently Asked Questions

How fast is claude-opus-4.8-fast?
The latest rolling average throughput is 37.00 tokens per second with an average time to first token of 990.00 ms across 4 recent runs.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Oct 13, 2026, 02:00 AM.