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DeepSeek vs StreamLake
Both are China-based options for budget coding. DeepSeek sells open MIT models per token; StreamLake sells Kuaishou's proprietary KAT-Coder with a coding plan and a Claude Code proxy.
By The Subconscious Team · Updated
DeepSeek vs StreamLake: key differences
DeepSeek and StreamLake share a home market but not a model strategy. DeepSeek's weights are open under MIT, and most hosts in this guide serve them, often below DeepSeek's own list. StreamLake, Kuaishou's AI cloud, sells KAT-Coder-Pro V2.5, a proprietary agentic coding model that StreamLake says was trained with large-scale agentic RL for repository-level work. Developers pay per token or buy a KwaiKAT Coding Plan, with OpenAI-protocol endpoints and a Claude-protocol proxy for Claude Code or OpenClaw. Earlier KAT-Coder versions spread through resellers like 302.AI and OpenRouter.
DeepSeek is the more general and more portable choice: 1M context, 384K output, reasoning effort settings, image understanding on V4.1 Flash, and off-peak pricing at half. Its weights can move to a US or EU host if data rules require it. StreamLake keeps data in China, and its pricing and documentation lead with yuan, which complicates Western procurement. StreamLake also sells bare-metal compute to Chinese internet businesses. Pick StreamLake for a subscription coding plan with a Claude Code proxy. Pick DeepSeek for open weights and metered general use.
What DeepSeek and StreamLake do
DeepSeek
DeepSeek is the Chinese lab whose open-weight models reset price expectations for the whole market. Its API now serves two models, both with 1M context and 384K max output. V4.1 Flash shipped September 10, 2026 with built-in image understanding at $0.30 in and $1.20 out at peak. V4 Pro, generally available since August 13, costs $1.32 in and $3.96 out at peak. Cache hits cost a few cents per million or less, and the weights ship on Hugging Face under an MIT license.
Example models: DeepSeek V4.1 Flash, DeepSeek V4 Pro
Full DeepSeek profileStreamLake
StreamLake is the AI cloud brand of Kuaishou, the Chinese short-video company behind the Kling video models. It sells model-as-a-service inference and bare-metal compute to internet businesses, drawing on the infrastructure Kuaishou built to serve video at massive scale. Its developer site offers APIs, SDKs and integration guides aimed at taking teams from testing to production.
Example models: KAT-Coder-Pro V2.5, KAT-Coder-Air
Full StreamLake profileShould you choose DeepSeek or StreamLake?
DeepSeek
Choose DeepSeek for
- Open weights that can move to non-China hosts
- General agents with 1M context
- Metered usage with off-peak discounts
StreamLake
Choose StreamLake for
- Subscription-based agentic coding in Claude Code
- Chinese businesses wanting domestic MaaS and bare metal
- Trying Kuaishou's KAT-Coder models
DeepSeek vs StreamLake at a glance
| Attribute | DeepSeek | StreamLake |
|---|---|---|
| Model access | Open weights (MIT) | Proprietary coding models |
| Flagship models | DeepSeek V4.1 Flash, V4 Pro | KAT-Coder-Pro V2.5, KAT-Coder-Air |
| Speed | ~35 tok/s on V4 Pro | Unknown |
| Price | Off-peak hours at half price | Per token or KwaiKAT Coding Plan |
| Customization | Open weights to fine-tune | Unknown |
| Deployment | First-party API, Hugging Face weights | MaaS API, bare metal |
| Long context | 1M, 384K max output | Unknown |
Frequently asked questions
What is the difference between DeepSeek and StreamLake?
Both are China-based options for budget coding. DeepSeek sells open MIT models per token; StreamLake sells Kuaishou's proprietary KAT-Coder with a coding plan and a Claude Code proxy.
When should I choose DeepSeek over StreamLake?
Open weights that can move to non-China hosts; General agents with 1M context; Metered usage with off-peak discounts.
When should I choose StreamLake over DeepSeek?
Subscription-based agentic coding in Claude Code; Chinese businesses wanting domestic MaaS and bare metal; Trying Kuaishou's KAT-Coder models.
Is DeepSeek or StreamLake cheaper?
DeepSeek: Off-peak hours at half price. StreamLake: Per token or KwaiKAT Coding Plan. The cheaper choice depends on the model and workload.
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