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
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Recommended Models for Embeddings & RAG
Cheapest Models for Embeddings & RAG
Based on 70% input / 30% output token ratio typical for this use case.
| Rank | Model | Cost/10M tokens | vs Best Quality |
|---|---|---|---|
| #1 | ministral-8bMistral | $1.00 | -92% |
| #2 | ministral-14bMistral | $1.50 | -88% |
| #3 | deepseek-chatDeepSeek | $1.82 | -85% |
| #4 | gpt-4.1-nanoOpenAI | $1.90 | -85% |
| #5 | gemini-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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