vs
One table to see how deepseek-v4.1-flash (DeepSeek) and kimi-k3.1-pro (Moonshot AI) differ. On EasyAPI both use the same endpoint and the same key; only the model name changes.
Quick verdict
- deepseek-v4.1-flash has the lower input price, 97% cheaper than kimi-k3.1-pro.
- deepseek-v4.1-flash has the lower output price, 97% cheaper than kimi-k3.1-pro.
Specs and pricing side by side
| Dimension | deepseek-v4.1-flash | kimi-k3.1-pro |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Type | Text | Text |
| Input price | ¥0.42 | ¥12.35 |
| Output price | ¥1.68 | ¥64.6 |
| Cache read | ¥0.0084 | ¥1.235 |
| Cache write | — | ¥12.35 |
| Capabilities | 文本 | 文本 |
| Endpoints | 1 | 1 |
Platform prices per million tokens (image / video models use their own units); your invoice is authoritative.
deepseek-v4.1-flash
DeepSeek-V4.1-Flash 是 DeepSeek 当前主力模型，官方 API 模型名为 deepseek-flash。支持 1M 上下文与最大 384K 输出，默认可切换思考/非思考模式，具备图像理解、工具调用、JSON Output，并兼容 OpenAI 与 Anthropic API。
kimi-k3.1-pro
Kimi K3.1 Pro 是 Kimi K3.1 系列的首款模型，面向长程编程、3D 创作与金融研究等复杂任务。该模型在真实代码库中的问题修复、多步工具调用与端到端项目构建上表现突出，也可处理游戏引擎脚本、三维建模与交互式场景生成。该模型原生支持视觉理解并可接受视频输入，适合图文混合内容的分析与生成。其思考模式常开，允许按需调节推理强度，便于在需要多轮规划、外部工具协作与结果核验的智能体场景中使用。上下文窗口约 100 万 token，可用于大体量代码库、长文档与跨文档核对。该模型提供函数调用与结构化输出支持，可用于对返回格式有严格约束的自动化流程。
FAQ
- Which is cheaper, deepseek-v4.1-flash or kimi-k3.1-pro?
- deepseek-v4.1-flash has the lower input price, 97% cheaper than kimi-k3.1-pro.
- Can I call deepseek-v4.1-flash and kimi-k3.1-pro through the same API?
- Yes. Both are served through EasyAPI's OpenAI-compatible API. Point base_url at EasyAPI and swap the model name; no separate vendor accounts needed.