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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.
| Attribute | Gemini Embedding 001gemini-embedding-001 | Gemini 3.8 Flashgemini-3.8-flash |
|---|---|---|
| Pricing | ||
| Input | $0.075 / 1M | $0.75 / 1M |
| Output | $0.30 / 1M | $3.75 / 1M |
| Cache Write (5m) | $0.075 / 1M | $0.75 / 1M |
| Cache Write (1h) | $0.075 / 1M | $0.75 / 1M |
| Cache Read | $0.075 / 1M | $0.75 / 1M |
| Web Search | — | $0 / 1M |
| Context | ||
| Max context | 128K | 1M |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | No | Yes |
| Function Calling | No | Yes |
| JSON Mode | No | Yes |
| Streaming | Yes | Yes |
| Catalogue | ||
| Provider | ||
| Category | embedding | chat |
| Charge type | Pay As You Go | Pay As You Go |
| Released | — | — |
| Description | ||
| Summary | Gemini-Embedding-001 is Google's high-quality text embedding model designed for semantic understanding and retrieval tasks. It converts text into dense vector representations optimized for semantic search, retrieval-augmented generation (RAG), clustering, classification, and recommendation systems. The model emphasizes strong multilingual performance, high semantic accuracy, and efficient embedding generation, making it well suited for large-scale knowledge indexing and production retrieval pipelines. | Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality. |