The small, fast MiniMax model is MiniMax M2 — the efficient tier at 172 tokens/sec and $0.255 per million input tokens. It trades a few points of raw intelligence for speed and cost, the right call for high-volume, latency-sensitive work. MiniMax M2.1 (135 t/s) is next.
Compact, efficient models — the small/mini/flash/haiku tier — ranked by output speed. These trade a little raw intelligence for low cost and high throughput, which is the right tradeoff for chat, classification, extraction and other high-volume work.
The small, fast MiniMax model is MiniMax M2 — the efficient tier at 172 tokens/sec and $0.255 per million input tokens. It trades a few points of raw intelligence for speed and cost, the right call for high-volume, latency-sensitive work. MiniMax M2.1 (135 t/s) is next.
MiniMax M2.1 (135 t/s) is the closest alternative on this metric. See the full ranking above for the tradeoffs.
modelgrep tracks 8 MiniMax models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by MiniMax M3. 2 of them qualify for this ranking.