modelgrep

Best xAI Models for RAG

Match · Updated July 2026

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.

53.8Intelligence
$2.00Input /M
500KContext

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.

  1. 1x-ai logo
    grok-4.5
    ReasoningToolsJSON+153.8 intel · $2.00/M · 500K ctx
    53.8
    Intelligence
  2. 2x-ai logo
    grok-4.3
    ReasoningToolsJSON+137.6 intel · $1.25/M · 18 t/s
    37.6
    Intelligence
  3. 3x-ai logo
    grok-4.20
    ReasoningToolsJSON+137.0 intel · $1.25/M · 2M ctx
    37.0
    Intelligence

Frequently asked

What is the best xAI model for RAG?

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.

What's a good alternative to Grok 4.5?

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.

How many xAI models are there?

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.

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