llm-benchmarks
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MiniMax M2.7 Benchmarks


Measured on deepinfra

13 runs
deepinfra site
Avg Tokens / Second
9.84
Decode Tokens / Second
39.80
Avg Time to First Token (ms)
12100.00
Runs Analysed
13
Last Updated
Sep 21, 2026, 10:33 PM

Throughput distribution

Throughput over time

MiniMax M2.7deepinfra146tok/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 345 tok/s (99th percentile) · dashed rule is the model's own mean

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
deepinfravia OpenRouter9.841.5724.9012100.0013

Frequently Asked Questions

How fast is MiniMax M2.7?
The latest rolling average throughput is 9.84 tokens per second with an average time to first token of 12100.00 ms across 13 recent runs. Once tokens are flowing the decoder delivers about 39.80 tokens per second, measured from the gaps between stream chunks with time to first token and reasoning excluded.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Sep 21, 2026, 10:33 PM.