Compare models
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 3.8 Flashgemini-3.8-flash | Mistral Embed 2312mistral-embed-2312 |
|---|---|---|
| Pricing | ||
| Input | $0.75 / 1M | $0.125 / 1M |
| Output | $3.75 / 1M | $0 / 1M |
| Cache Write (5m) | $0.75 / 1M | $0.125 / 1M |
| Cache Write (1h) | $0.75 / 1M | $0.125 / 1M |
| Cache Read | $0.75 / 1M | $0.125 / 1M |
| Web Search | $0 / 1M | — |
| Context | ||
| Max context | 1M | 8.2K |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | No |
| Function Calling | Yes | No |
| JSON Mode | Yes | No |
| Streaming | Yes | No |
| Catalogue | ||
| Provider | Mistral AI | |
| Category | chat | embedding |
| Charge type | Pay As You Go | Pay As You Go |
| Released | — | — |
| Description | ||
| Summary | 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. | Mistral Embed is Mistral AI's text embedding model, built for semantic search and RAG workflows. It generates 1024-dimensional vectors that capture meaningful relationships between pieces of text. |