vs
One table to see how deepseek-v4.1-flash-1017 (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-1017 has the lower input price, 97% cheaper than kimi-k3.1-pro.
- deepseek-v4.1-flash-1017 has the lower output price, 97% cheaper than kimi-k3.1-pro.
Specs and pricing side by side
| Dimension | deepseek-v4.1-flash-1017 | kimi-k3.1-pro |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Type | Text | Text |
| Input price | ¥0.42 | ¥12.3871 |
| Output price | ¥1.68 | ¥64.7943 |
| Cache read | ¥0.0084 | ¥1.2387 |
| Cache write | — | ¥12.3871 |
| Capabilities | Text | Text |
| Endpoints | 2 | 2 |
Platform prices per million tokens (image / video models use their own units); your invoice is authoritative.
deepseek-v4.1-flash-1017
DeepSeek-V4.1-Flash is DeepSeek's current mainstay model; its official API model name is deepseek-flash. It supports a 1M context and up to 384K output, with thinking and non-thinking modes switchable by default, features image understanding, tool use, and JSON Output, and is compatible with the OpenAI and Anthropic APIs.
kimi-k3.1-pro
Kimi K3.1 Pro is the first model in the Kimi K3.1 series, built for complex tasks such as long-horizon coding, 3D creation, and financial research. It excels at fixing issues in real codebases, multi-step tool use, and end-to-end project building, and can also handle game engine scripting, 3D modeling, and interactive scene generation. The model natively supports vision understanding and accepts video input, making it suitable for analyzing and generating mixed text-and-image content. Its thinking mode is always on, with reasoning effort adjustable on demand, making it useful for agent scenarios that require multi-turn planning, external tool collaboration, and result verification. It has a context window of about 1 million tokens and can be used for large codebases, long documents, and cross-document verification. The model supports function calling and structured output, and can be used in automated workflows with strict constraints on response format.
FAQ
- Which is cheaper, deepseek-v4.1-flash-1017 or kimi-k3.1-pro?
- deepseek-v4.1-flash-1017 has the lower input price, 97% cheaper than kimi-k3.1-pro.
- Can I call deepseek-v4.1-flash-1017 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.