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Head-to-head · AI chatbots

DeepSeek vs Kimi

DeepSeek is the lower-cost route; Kimi bundles research, coding and office agents, with paid plans from $15/month annually.

DeepSeek

7.0/10
VS

Kimi

6.2/10

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Short answer

Most buyers should pick DeepSeek.

Choose DeepSeek for a free chatbot or a pay-per-token API, plus open-weight models and developer features such as function calling and JSON mode. Choose Kimi for a workspace that combines research, document synthesis, coding and agent-based tasks. The listed pricing puts Kimi Plus at $15 per month with annual billing, or $19 monthly; Pro is $31 annually billed or $39 monthly. Kimi has a free tier, but it excludes Kimi Code.

01Side by side

DeepSeekKimi
Starting priceFree chat; API is metered per tokenFree tier; Plus starts at $15/month annually
Free planFree web and mobile chatbot; no caps listedFree tier; one parallel Agent task
Best forDevelopers, self-hosting, and low-cost API useResearch, documents, coding, and office tasks
Core strengthOpen-weight reasoning and developer APILong-context research and agent-based workspace
Learning curveChat is simple; API use requires developer workWorkspace tools; task limits depend on plan
Integrations & dataAPI supports function calling, JSON mode, and 1M-token context1M-token context, projects, and document synthesis
Team/seat costsNo seat limits listed; API has no monthly subscriptionIndividual tiers; seat pricing not published
SupportSupport details not publishedSupport details not published

Choose DeepSeek if

  • Choose DeepSeek if you want a free chatbot without a listed usage cap.
  • Choose DeepSeek if you need a pay-per-token developer API.
  • Choose DeepSeek if self-hostable open-weight models matter.

Choose Kimi if

  • Choose Kimi if you want research and office tools in one workspace.
  • Choose Kimi if Agent Swarm is worth a paid plan.
  • Choose Kimi if you need projects and document synthesis.

02Pricing compared

DeepSeek is cheaper to start: its web and mobile chatbot is free, and the pricing details list 5 million free API tokens at signup. The API has no monthly subscription; you pay per token. Rates vary by model and time: deepseek-flash input is listed at $0.15 per million tokens off-peak and $0.30 at peak, while output is $0.60 and $1.20. Kimi also has a free tier, but it excludes Kimi Code and limits projects, storage and tasks. Plus costs $19 monthly or $180 upfront annually ($15 a month). Pro costs $39 monthly or $372 annually ($31 a month). Kimi paid subscribers can buy extra usage, with a $10 minimum recharge. DeepSeek’s listed API rates are not a flat estimate of your bill: usage and peak-hour rates affect the total.

03Features and depth

DeepSeek’s edge is model access and developer control. Its published models include V3 and R1, with R1 trained using reinforcement learning for reasoning. The homepage describes a 671B-parameter Mixture-of-Experts model with 37B activated per token, plus Multi-Head Latent Attention to reduce key-value cache overhead. The API supports function calling, JSON output and context caching; the published pricing details list a 1-million-token context window and up to 384,000 output tokens. Developers can also self-host distilled Qwen- and Llama-based models from 1.5B to 70B parameters.

Kimi is broader as a work surface. Its listed tools include million-token context, multi-step web research with cited reports, document synthesis, coding and image parsing. Agent Swarm can coordinate parallel agents for tasks such as creating slides, spreadsheets and websites, but it is a Pro feature. Kimi Code is listed on Plus and Pro, not Free. Choose DeepSeek for open-weight models and API building blocks; choose Kimi when research and office-style agent tasks matter more than self-hosting.

04Ease of use and learning curve

For casual use, DeepSeek has a free web and mobile chatbot, so there is no paid plan to choose first. The published pricing details list no consumer usage cap or seat limit, but that is not a promise of unlimited access. Developers will need to work with a metered API and account for model, token and peak-hour rates.

Kimi packages chat, research, documents and agent tools in one workspace. Its Free tier has explicit limits: one parallel Agent task, two scheduled tasks, two widget tasks, two projects and 500MB of storage. Kimi Code is unavailable there. Paid plans raise some limits and add tools, so users need to compare those caps against their workflow before upgrading.

Questions people ask

Are DeepSeek and Kimi the same?

No. DeepSeek is an AI research company offering a chatbot, developer API and open-weight models. Kimi is an AI assistant and productivity workspace developed by Moonshot AI, with research, document, coding and agent-based tools. They overlap in chat and coding, but their products and pricing differ.

What is the English of Kimi?

The published product information does not give an English translation or explain the name “Kimi.” It identifies Kimi as an assistant and productivity workspace developed by Moonshot AI. We can’t confirm a translation from the available published material.

Is Kimi actually better than ChatGPT?

We can’t call Kimi better than ChatGPT from the information available here; there’s no comparable ChatGPT pricing or feature data. Kimi’s listed strengths include long-context research, document synthesis and agent tasks. Whether that suits you depends on your workflow and the plan limits you need.

Is there any AI better than DeepSeek?

There isn’t a single best choice for every task. In this comparison, Kimi may fit users who want research, document work and agent tools in one workspace. DeepSeek may fit users who prioritize a free chatbot, token-billed API access or open-weight models. Compare the features and costs you’ll actually use.