Best IBM Models for RAG

Match · Updated July 2026

The best IBM model for RAG is Granite 4.1 8B — 6.7 intelligence with 131K tokens of context for retrieved passages.

6.7Intelligence

$0.050Input /M

131KContext

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
granite-4.1-8b
ToolsJSON6.7 intel · $0.050/M · 131K ctx
6.7
Intelligence

Frequently asked

What is the best IBM model for RAG?

The best IBM model for RAG is Granite 4.1 8B — 6.7 intelligence with 131K tokens of context for retrieved passages.

How many IBM models are there?

modelgrep tracks 2 IBM models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Granite 4.1 8B. 1 of them qualify for this ranking.

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