llm-benchmarks
githubdrose.io

Qwen3.7-Max Benchmarks


Measured on deepinfra

6 runs
deepinfra site
Avg Tokens / Second
2.29
Avg Time to First Token (ms)
0.00
Runs Analysed
6
Last Updated
Aug 4, 2026, 02:14 PM

Throughput distribution

  • Qwen3.7-Max deepinfra2 tok/s
025

Visible-token throughput, same basis as the table · curves normalised per model

Throughput over time

Qwen3.7-Maxdeepinfra1tok/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 · shared vertical scale, 0 to 53 tok/s (99th percentile) · dashed rule is the model's own mean

Every provider serving this model

1 measured
ProviderModelAvg Toks/SecMinMaxAvg TTF (ms)
deepinfraQwen3.7-Max2.292.042.630.00

Frequently Asked Questions

How fast is Qwen3.7-Max?
The latest rolling average throughput is 2.29 tokens per second with an average time to first token of 0.00 ms across 6 recent runs.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Aug 4, 2026, 02:14 PM.