The best MoonshotAI model for RAG is Kimi K3 — 57.1 intelligence with 1.0M tokens of context for retrieved passages. Kimi K2.6 (44.2) and Kimi K2.7 Code (41.9) 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 MoonshotAI model for RAG is Kimi K3 — 57.1 intelligence with 1.0M tokens of context for retrieved passages. Kimi K2.6 (44.2) and Kimi K2.7 Code (41.9) round out the top three.
Kimi K2.6 (44.2) is the closest alternative on this metric, followed by Kimi K2.7 Code (41.9). See the full ranking above for the tradeoffs.
modelgrep tracks 7 MoonshotAI models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Kimi K3. 7 of them qualify for this ranking.