The best Qwen model for RAG is Qwen3.7 Max — 46.0 intelligence with 1M tokens of context for retrieved passages. Qwen3.6 Max Preview (40.0) and Qwen3.6 Plus (39.6) 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 Qwen model for RAG is Qwen3.7 Max — 46.0 intelligence with 1M tokens of context for retrieved passages. Qwen3.6 Max Preview (40.0) and Qwen3.6 Plus (39.6) round out the top three.
Qwen3.6 Max Preview (40.0) is the closest alternative on this metric, followed by Qwen3.6 Plus (39.6). See the full ranking above for the tradeoffs.
modelgrep tracks 47 Qwen models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Qwen3.7 Max. 20 of them qualify for this ranking.