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Small & Fast MiniMax Models

Quick answer · Updated June 2026

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.

172 t/sSpeed
36.1Intelligence
$0.255Input /M
205KContext

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.

  1. 1M
    minimax-m2
    ReasoningToolsJSON36.1 intel · $0.255/M · 356ms ttft
    172 t/s
    Speed
  2. 2M
    minimax-m2.1
    ReasoningToolsJSON39.4 intel · $0.290/M · 1.4s ttft
    135 t/s
    Speed

Frequently asked

What is the smallest, fastest MiniMax model?

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.

What's a good alternative to MiniMax M2?

MiniMax M2.1 (135 t/s) is the closest alternative on this metric. See the full ranking above for the tradeoffs.

How many MiniMax models are there?

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.

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