Moonshot AI 的 Kimi K3.1 Pro 上架 Amazon Bedrock
Introducing Kimi K3.1 Pro on Amazon Bedrock
Moonshot 的 Kimi K3.1 Pro 进了 Amazon Bedrock，AWS 用户直接调 API 就能用，支持 OpenAI 兼容接口，迁移代码几乎不用改。文中还教了怎么开 prompt caching 省钱、怎么在 OpenCode 里当编程助手。做多云部署或想比较中美模型成本的工程师可以看看。
Moonshot AI 的 Kimi K3.1 Pro 现已正式登陆 Amazon Bedrock，企业用户无需自行部署即可通过 AWS 调用该模型。
开发者可以走三条接入路径：OpenAI 兼容的 Chat Completions API、Responses API 以及 Bedrock 原生的 Converse API，已有 OpenAI 代码库的项目迁移成本较低。
文中还给出两个实操要点：一是通过显式 prompt caching 降低重复前缀场景的推理成本，二是把模型接入 OpenCode 当编程助手使用。对多云采购的企业来说，Kimi 系列进入 Bedrock 意味着在 Claude、Llama 等 AWS 原生选项之外多了一个中国团队的模型选择，采购和合规流程可以统一走 AWS。
Introducing Kimi K3.1 Pro on Amazon Bedrock
Kimi K3.1 Pro from Moonshot AI is now available on Amazon Bedrock. Learn how to get started through the OpenAI-compatible Chat Completions, Responses, and Converse APIs, optimize inference with explicit prompt caching, and use the model as a coding assistant in OpenCode.
This report is categorized under AITOP's "Models" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Kimi, Moonshot AI, Amazon Bedrock, 提示词工程.
Primary source verification: published directly by AWS Machine Learning Blog with first-party authority. Cross-source corroboration: 11 independent sources have covered this development (including TestingCatalog, lmarena.ai, Anthropic), confirming industry-wide signal strength.
