vs
One table to see how deepseek-v4.1-flash (DeepSeek) and kimi-k2-thinking (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, 88% cheaper than kimi-k2-thinking.
- deepseek-v4.1-flash has the lower output price, 88% cheaper than kimi-k2-thinking.
Specs and pricing side by side
| Dimension | deepseek-v4.1-flash | kimi-k2-thinking |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Type | Text | Text |
| Input price | ¥0.4187 | ¥3.4119 |
| Output price | ¥1.675 | ¥14.2163 |
| Cache read | ¥0.0084 | ¥0.853 |
| Cache write | — | ¥0 |
| 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-k2-thinking
开源思考型模型，擅长长链推理与连续工具调用，可稳定执行数百步自主研究、编码与多轮智能体任务，适合复杂分析与 Agent 工作流。
FAQ
- Which is cheaper, deepseek-v4.1-flash or kimi-k2-thinking?
- deepseek-v4.1-flash has the lower input price, 88% cheaper than kimi-k2-thinking.
- Can I call deepseek-v4.1-flash and kimi-k2-thinking 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.