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| Attribute | Gemini 3.8 Flashgemini-3.8-flash | Kimi K2 0711 Preview Searchkimi-k2-0711-preview-search |
|---|---|---|
| Pricing | ||
| Input | $0.75 / 1M | $0.165 / 1M |
| Output | $3.75 / 1M | $0.49 / 1M |
| Cache Write (5m) | $0.75 / 1M | $0.165 / 1M |
| Cache Write (1h) | $0.75 / 1M | $0.165 / 1M |
| Cache Read | $0.75 / 1M | $0.165 / 1M |
| Web Search | $0 / 1M | $0 / 1M |
| Context | ||
| Max context | 1M | 63K |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | Yes |
| Function Calling | Yes | Yes |
| JSON Mode | Yes | Yes |
| Streaming | Yes | Yes |
| Catalogue | ||
| Provider | Moonshot AI | |
| Category | chat | chat |
| 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. | Kimi K2 Instruct is a trillion-parameter MoE model from Moonshot AI, with 32B active parameters per step. Built for strong agentic behavior, it excels at tool use, reasoning, and code generation, leading major benchmarks in coding, logic, and tool-use tasks. It supports up to 128K context and uses a specialized training setup (including MuonClip) to stabilize very large MoE training. |