llm-benchmarks
githubdrose.io

claude-opus-4.8 Benchmarks


Measured on anthropic

3 runs
anthropic site
Avg Tokens / Second
31.30
Decode Tokens / Second
Avg Time to First Token (ms)
1180.00
Runs Analysed
3
Last Updated
Sep 7, 2026, 08:56 PM

Throughput distribution

Throughput over time

claude-opus-4.8anthropic31tok/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 OpenRouter31.3022.2048.301180.003

Frequently Asked Questions

How fast is claude-opus-4.8?
The latest rolling average throughput is 31.30 tokens per second with an average time to first token of 1180.00 ms across 3 recent runs.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Sep 7, 2026, 08:56 PM.