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.
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.
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.
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.
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.