llm-benchmarks
githubdrose.io

MiniMax-M2.7 Benchmarks


Measured on fireworks

681 runs
fireworks site
Avg Tokens / Second
64.50
Avg Time to First Token (ms)
0.00
Runs Analysed
681
Last Updated
Aug 9, 2026, 03:06 AM

Throughput distribution

  • MiniMax-M2.7 fireworks65 tok/s
0255075100

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

Throughput over time

MiniMax-M2.7fireworks45tok/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 97 tok/s (99th percentile) · dashed rule is the model's own mean

Every provider serving this model

1 measured
ProviderModelAvg Toks/SecMinMaxAvg TTF (ms)
fireworksMiniMax-M2.764.508.23136.000.00

Frequently Asked Questions

How fast is MiniMax-M2.7?
The latest rolling average throughput is 64.50 tokens per second with an average time to first token of 0.00 ms across 681 recent runs.
How often are these benchmarks updated?
Benchmarks refresh automatically whenever the monitoring cron runs. The most recent run completed on Aug 9, 2026, 03:06 AM.