The best OpenAI model for RAG is GPT-5.6 Sol — 58.9 intelligence with 1.1M tokens of context for retrieved passages. GPT-5.6 Terra (55.0) and GPT-5.5 (54.8) 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 OpenAI model for RAG is GPT-5.6 Sol — 58.9 intelligence with 1.1M tokens of context for retrieved passages. GPT-5.6 Terra (55.0) and GPT-5.5 (54.8) round out the top three.
GPT-5.6 Terra (55.0) is the closest alternative on this metric, followed by GPT-5.5 (54.8). See the full ranking above for the tradeoffs.
modelgrep tracks 67 OpenAI models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by GPT-5.6 Sol. 25 of them qualify for this ranking.