llm-benchmarks
githubdrose.io

MiniMax M2.7 Benchmarks


Measured on sambanova

2 runs
Avg Tokens / Second
23.40
Decode Tokens / Second
—
Avg Time to First Token (ms)
3140.00
Runs Analysed
2
Last Updated
Sep 25, 2026, 01:52 AM

Throughput distribution

Throughput over time

MiniMax M2.7sambanova313tok/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 344 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
sambanovavia OpenRouter23.4019.4027.403140.002

Frequently Asked Questions

How fast is MiniMax M2.7?
The latest rolling average throughput is 23.40 tokens per second with an average time to first token of 3140.00 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 Sep 25, 2026, 01:52 AM.

Related models