modelgrep

Best MiniMax Models for RAG

Match · Updated July 2026

The best MiniMax model for RAG is MiniMax M3 — 44.4 intelligence with 1.0M tokens of context for retrieved passages. MiniMax M2.7 (38.1) and MiniMax M2.5 (33.7) round out the top three.

44.4Intelligence
$0.300Input /M
1.0MContext

The best AI models for retrieval-augmented generation, ranked by intelligence among models with at least 128K tokens of context — enough to hold retrieved passages plus conversation. RAG pipelines run at volume, so weigh the price and speed columns as hard as the score.

  1. 1minimax logo
    minimax-m3
    ReasoningToolsJSON+144.4 intel · $0.300/M · 1.0M ctx
    44.4
    Intelligence
  2. 2minimax logo
    minimax-m2.7
    ReasoningToolsJSON38.1 intel · $0.250/M · 205K ctx
    38.1
    Intelligence
  3. 3minimax logo
    minimax-m2.5
    ReasoningToolsJSON33.7 intel · $0.150/M · 205K ctx
    33.7
    Intelligence
  4. 4minimax logo
    minimax-m2.1
    ReasoningToolsJSON31.4 intel · $0.300/M · 205K ctx
    31.4
    Intelligence
  5. 5minimax logo
    minimax-m2
    ReasoningToolsJSON28.3 intel · $0.255/M · 205K ctx
    28.3
    Intelligence

Frequently asked

What is the best MiniMax model for RAG?

The best MiniMax model for RAG is MiniMax M3 — 44.4 intelligence with 1.0M tokens of context for retrieved passages. MiniMax M2.7 (38.1) and MiniMax M2.5 (33.7) round out the top three.

What's a good alternative to MiniMax M3?

MiniMax M2.7 (38.1) is the closest alternative on this metric, followed by MiniMax M2.5 (33.7). 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. 5 of them qualify for this ranking.

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