The best DeepSeek model for RAG is DeepSeek V4 Pro — 44.3 intelligence with 1.0M tokens of context for retrieved passages. DeepSeek V4 Flash (40.3) and DeepSeek V3.2 (24.7) 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 DeepSeek model for RAG is DeepSeek V4 Pro — 44.3 intelligence with 1.0M tokens of context for retrieved passages. DeepSeek V4 Flash (40.3) and DeepSeek V3.2 (24.7) round out the top three.
DeepSeek V4 Flash (40.3) is the closest alternative on this metric, followed by DeepSeek V3.2 (24.7). See the full ranking above for the tradeoffs.
modelgrep tracks 11 DeepSeek models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by DeepSeek V4 Pro. 5 of them qualify for this ranking.