Kimi and DeepSeek offer different trade-offs for Chinese AI users
Kimi K3.1 Pro offers superior intelligence and paid features, while DeepSeek provides a free app and a significantly cheaper API.
The short version
- Kimi K3.1 Pro scores 46 on the Intelligence Index v5, while DeepSeek's V4.1-Flash-1017 scores 32.5.
- DeepSeek's chat app is completely free with no subscription, whereas Kimi uses a tiered paid model starting at $19.
- DeepSeek's API is roughly 7 to 17 times cheaper than Kimi's depending on the time of day.
- Kimi offers a dedicated desktop app for Mac, while DeepSeek provides a separate desktop agent called DeepSeek Harness.
- DeepSeek stores all user data in China, while Kimi.ai allows for storage outside of China for its international service.
Why it matters
For users, the choice depends on whether they prioritize raw model accuracy or cost-efficiency. Kimi is better for high-stakes knowledge work, while DeepSeek is the go-to for high-volume, low-cost automation.
Comparing model intelligence
The performance gap between these two Chinese AI labs is now quantifiable. According to the Artificial Analysis Intelligence Index v5, Moonshot AI’s Kimi K3.1 Pro scored 46, making it the highest-scoring open weights model on the list. In contrast, DeepSeek’s primary model for its free app, V4.1-Flash-1017, scored 32.5.
This score difference reflects significant variations in reliability for everyday tasks. Kimi K3.1 Pro is noted for making fewer confident mistakes than its competitor. On the other hand, DeepSeek’s model has a lower score on the Omniscience Index, meaning it guesses wrong on hard factual questions as often as it gets them right.
While Kimi wins on general intelligence, DeepSeek still holds an edge in specific areas like speed. DeepSeek’s API was measured at 173 tokens per second, which is more than four times faster than Kimi’s 41 tokens per second. It also outperformed Kimi on a specific private coding benchmark called FrontierCode 2.0.
Subscription vs. free access
The two platforms take opposite approaches to how users access their technology. DeepSeek offers its chat app entirely for free with no consumer subscription plans available. This app includes features like DeepThink for step-by-step reasoning and a web search toggle.
Kimi operates on a tiered paid model where its most useful features are locked behind a monthly fee. Users can choose between plans costing $19, $39, $99, and $199 per month. These paid tiers provide access to a shared credit pool for tools like Slides, Docs, and a website builder.
Kimi's free plan is limited to a trial of its agent features rather than the full product suite. It allows for one agent task at a time and 500MB of project storage, but it does not include the Kimi Code tool. This makes the paid version necessary for anyone looking to use the platform for professional work.
API costs for developers
For developers looking to integrate these models into their own software, DeepSeek is the clear leader in affordability. Its API costs are between 7 and 17 times cheaper than Kimi's depending on the time of day. DeepSeek even uses a tiered pricing system that charges half price during off-peak hours.
Kimi charges a flat rate of $2 to $10 per million tokens for its K3.1 Pro model. DeepSeek's V4.1-Flash costs as little as $0.15 per million tokens during off-peak windows. This makes DeepSeek a highly attractive option for high-volume tasks where cost per token is the primary concern.
However, there are other cheaper options available for developers who do not specifically require a Chinese lab. For example, Claude Haiku 5.5 can be cheaper than DeepSeek's off-peak rates while achieving a higher intelligence score. Developers should compare these costs against other models before committing to a specific provider.
Coding tools and platforms
Both companies offer specialized tools for software development, but they differ in how they are delivered. Kimi provides a dedicated coding tool called Kimi Code, which is included in all paid plans. It is designed to work within a shared credit pool and has a five-hour usage limit.
DeepSeek offers a separate desktop agent called DeepSeek Harness for Mac and Windows. Unlike Kimi's subscription model, DeepSeek Harness bills users directly through its API. This allows for a pay-as-you-go experience for developers who need a coding assistant without a monthly fee.
The performance of these coding agents also varies significantly. Kimi Code scored 65.7% on Terminal-Bench 4.0 in the Claude Code harness, while DeepSeek Harness scored 42.3% on the same benchmark. This suggests that while DeepSeek is cheaper, Kimi's coding agent is currently more capable.
Privacy and data storage
Data residency and privacy policies vary between the two companies based on which service a user chooses. DeepSeek stores all user data in China, as stated in its privacy policy. It uses this data to train and improve its technology, and users must email the company to opt out.
Kimi offers two different services with different data rules. The site kimi.com stores data in China, while the international service kimi.ai is run by a Singapore-registered company. Kimi.ai allows for data to be stored outside of the user's country of residence, which may be preferable for some international users.
Neither company provides a simple toggle switch in their settings to opt out of model training. Instead, both require users to send a manual request to their respective customer service teams. Users should be aware that their chats are used for optimization unless they take the extra step to request an opt-out.
What to watch
- Whether Moonshot AI releases the Kimi K3.1 Pro weights by November 4, 2026.
- How DeepSeek's new agent web search fees impact its total cost for developers starting November 1.
Try it
Check the Artificial Analysis Intelligence Index v5 to see how these models rank against others like Claude or GPT.
Sources and links
- ReportingFello AI: the article we sourced
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Listen to the daily showsFirst reported by Fello AI · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.
