llm-benchmarks
githubdrose.io

claude-opus-4.8 Benchmarks


Measured on anthropic

2 runs
anthropic site
Avg Tokens / Second
36.90
Decode Tokens / Second
—
Avg Time to First Token (ms)
850.00
Runs Analysed
2
Last Updated
Oct 24, 2026, 05:46 PM

Throughput distribution

Throughput over time

claude-opus-4.8anthropic37tok/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 51 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
anthropicvia OpenRouter36.9024.9048.80850.002

Frequently Asked Questions

How fast is claude-opus-4.8?
The latest rolling average throughput is 36.90 tokens per second with an average time to first token of 850.00 ms across 2 recent runs.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Oct 24, 2026, 05:46 PM.