The best xAI model for RAG is Grok 4.5 — 53.8 intelligence with 500K tokens of context for retrieved passages. Grok 4.3 (37.6) and Grok 4.20 (37.0) 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 xAI model for RAG is Grok 4.5 — 53.8 intelligence with 500K tokens of context for retrieved passages. Grok 4.3 (37.6) and Grok 4.20 (37.0) round out the top three.
Grok 4.3 (37.6) is the closest alternative on this metric, followed by Grok 4.20 (37.0). See the full ranking above for the tradeoffs.
modelgrep tracks 5 xAI models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Grok 4.5. 3 of them qualify for this ranking.