Use Case

Best AI for RAG 2026 - Embeddings & Retrieval

Compare models for Retrieval Augmented Generation. Embedding models and retrieval-optimized LLMs.

Input/Output Ratio
70% / 30%
Typical for this use case
Cheapest Option
$1.00
per 10M tokens/month
Top Pick
gemini-3.0-flash
Quality + Value balanced

Cheapest Models for Embeddings & RAG

Based on 70% input / 30% output token ratio typical for this use case.

RankModelCost/10M tokensvs Best Quality
#1ministral-8bMistral$1.00-92%
#2ministral-14bMistral$1.50-88%
#3deepseek-chatDeepSeek$1.82-85%
#4gpt-4.1-nanoOpenAI$1.90-85%
#5gemini-2.5-flash-liteGoogle$1.90-85%

Key Considerations

  • *Embedding costs separate from generation
  • *Chunk size affects both storage and query costs
  • *Fast models preferred for real-time RAG
  • *Consider hybrid search for best results

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