llm-benchmarks
githubdrose.io

MiniMax-M2.7 Benchmarks


Measured on deepinfra

7 runs
deepinfra site
Avg Tokens / Second
14.80
Avg Time to First Token (ms)
0.00
Runs Analysed
7
Last Updated
Aug 4, 2026, 05:06 PM

Throughput distribution

  • MiniMax-M2.7 deepinfra15 tok/s
02550

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

Throughput over time

MiniMax-M2.7deepinfra1tok/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 1 tok/s (99th percentile) · dashed rule is the model's own mean · 1 samples above the ceiling drawn at it

Every provider serving this model

1 measured
ProviderModelAvg Toks/SecMinMaxAvg TTF (ms)
deepinfraMiniMax-M2.714.807.7533.400.00

Frequently Asked Questions

How fast is MiniMax-M2.7?
The latest rolling average throughput is 14.80 tokens per second with an average time to first token of 0.00 ms across 7 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, 05:06 PM.