Kimi
Moonshot AI's assistant, known for very long context windows and the open-weight K2 agentic model.
Full Kimi record →Head to head
Kimi vs DeepSeek
Kimi (Moonshot AI) and DeepSeek (DeepSeek) both sit in Writing. DeepSeek shipped more tracked changes in the last 30 days (11 vs 10). Every value below comes from the latest crawl of the vendors' own pages.
| Attribute | Kimi Moonshot AI | DeepSeek DeepSeek |
|---|---|---|
| Segment | Writing | Writing |
| Version | K3.1 Pro | DeepSeek-V4.1-Flash-1017 |
| Entry cost | Pay-as-you-go API pricing based on token consumption (no monthly flat fee subscription plans published). | Pay-as-you-go API pricing (not fully detailed in text). Free tier or flat-rate seats not specified. |
| Pricing tiers | Pay-as-you-go (API) free | Pay-as-you-go API free |
| Model stack | Kimi K2.6 · Kimi K2.7 Code · Kimi K3 · kimi-k2.5 · kimi-k2.7-code-highspeed · kimi-k3.1-pro · kimi-k3.1-pro-highspeed | deepseek-flash · DeepSeek-R1 · DeepSeek-V3.2 · deepseek-v4-flash · DeepSeek-V4-Flash-0731 · DeepSeek-V4-Flash-Vision-Exp · DeepSeek-V4-Pro · DeepSeek-V4-Pro-0813 · DeepSeek-V4.1-Flash · DeepSeek-V4.1-Flash-1017 |
| Context window | 1M tokens | 1000000 |
| Public API | ||
| Routes models | ||
| Changes / 30d | 10 | 11 |
| Origin | China | China |
| Capabilities | Native multimodal (visual + text), 1M-token context, Agentic tool use, Thinking / non-thinking modes, Dedicated coding models (k2.7-code, high-speed), Open weights, 1M token context, Multimodal input | Reasoning mode, Open weights (MIT), OpenAI-compatible API, Context caching, Function calling, Thinking Mode, Context Caching, JSON Output |
DeepSeek
Hangzhou lab whose V and R series models are released under permissive licences and undercut Western API pricing by an order of magnitude.
Full DeepSeek record →