DeepSeek vs Kimi
Detailed comparison between DeepSeek and Kimi. Which one to choose for your project?
D
DeepSeek
2.4/5 · 131
K
Kimi
4.5/5 · 0
Compare features, prices and use cases below →
Head to Head
DeepSeek
The open source Chinese model rivaling GPT-4
2.4/5 Third-party rating: 2.4/5 (131).
Price
Free plan Key features
- Advanced chain-of-thought reasoning
- Downloadable and self-hostable models
- Excellent at programming and debugging
- API ~10x cheaper than GPT-4
Kimi
Moonshot AI's assistant: open-weight K2/K3 models, long context and a coding agent from $19/mo
4.5/5 Catalogue score: 4.5/5. No sourced user reviews.
Price
Free plan; From $19/mo Key features
- Open model family: K2.6 flagship (1T-param MoE) and K3 (2.8T), usable via the app, the API or self-hosted
- Analyze entire documents, large codebases or long conversations without losing the thread
- Orchestrates hundreds of specialized sub-agents across thousands of coordinated steps for complex tasks
- Open-source coding CLI rivaling Claude Code and Codex, with parallel multi-agent execution, from $19/mo
DeepSeek vs Kimi, Specs at a glance
| Criteria | DeepSeek | Kimi |
|---|---|---|
| Rating | Third-party rating: 2.4/5 (131). | Catalogue score: 4.5/5. No sourced user reviews. |
| Pricing model | freemium | freemium |
| Starting price | Free plan | Free plan; From $19/mo |
| Free plan | Yes | Yes |
| Best for | Developers and businesses wanting GPT-4 performance at minimal cost | Users and developers looking for an open, affordable alternative to Claude, ChatGPT or Codex, with strong long-context needs |
DeepSeek, Pros and Cons
Pros
- Free and open source
- Performance close to GPT-4
- Extremely competitively priced API
- Excellent at coding and reasoning
Cons
- Hosted in China, privacy concerns
- Censorship on certain political topics
- No advanced multimodal
- Limited support
Kimi, Pros and Cons
Pros
- Competitive open-weight models (K2.6: 76.8% on SWE-bench)
- Aggressive pricing: full coding agent from $19/mo, generous free tier
- Long context (256K) and multimodal (text, image, video)
- Agent mode orchestrating hundreds of sub-agents in parallel
Cons
- Interface and ecosystem designed first for the Chinese market
- 256K context below the 1M of some rivals (Claude)
- Young ecosystem: fewer third-party integrations than ChatGPT or Claude
Frequently asked questions
Which one is cheaper: DeepSeek or Kimi?
DeepSeek: Free plan. Kimi: Free plan; From $19/mo. The listed paid prices cannot be compared on the same basis.
Does DeepSeek or Kimi offer a free plan?
Yes, both DeepSeek and Kimi offer a free plan.
Which has the higher user rating, DeepSeek or Kimi?
DeepSeek: Third-party rating: 2.4/5 (131). Kimi: Catalogue score: 4.5/5. No sourced user reviews. Choose according to your use case; the rating alone does not determine the best fit.
What is DeepSeek best for compared to Kimi?
DeepSeek is best for developers and businesses wanting gpt-4 performance at minimal cost. Kimi is best for users and developers looking for an open, affordable alternative to claude, chatgpt or codex, with strong long-context needs. Choose based on which use case matches your needs.
Should I choose DeepSeek or Kimi?
DeepSeek: Developers and businesses wanting GPT-4 performance at minimal cost. Kimi: Users and developers looking for an open, affordable alternative to Claude, ChatGPT or Codex, with strong long-context needs. Choose according to your use case; the rating alone does not determine the best fit.
Choose according to your use case; the rating alone does not determine the best fit.
