Sail Research vs StreamLake

Sail Research discounts open models for background agents. StreamLake is Kuaishou's AI cloud serving its proprietary KAT-Coder models. Open and async versus closed and China-based.

By The Subconscious Team · Updated September 30, 2026

Sail Research vs StreamLake: key differences

Both have a coding angle, but they reach it from opposite ends. StreamLake, the AI cloud brand of Kuaishou, leads with KAT-Coder-Pro V2.5, a proprietary model it says was trained with large-scale agentic RL for repository-level work. It sells per-token access or a KwaiKAT Coding Plan, with a Claude-protocol proxy for Claude Code. Sail Research serves open models like Kimi K2.6 and GLM-5 and sells time: a one-minute priority window, a five-minute standard window, or off-peak flex at 60 to 80% off.

For Western buyers, residency decides a lot. StreamLake's data sits in China and its pricing and docs lead with yuan, which complicates US and EU procurement. Sail runs over OpenAI and Anthropic-compatible APIs, and its named customers include Detail.dev. On workload, StreamLake fits developers who want a subscription coding model inside their editor, and Chinese businesses that want domestic MaaS and bare metal. Sail fits unattended agents that run for hours and do not need an answer right away. Sail cannot serve an interactive coding session well; that is StreamLake's use case.

What Sail Research and StreamLake do

Sail Research

Sail Research sells throughput over latency. Founders Neil Movva and Samir Menon built a serving stack that packs as much work as possible into every GPU, and customers state how long they can wait through completion windows. The priority window targets about a one-minute turn for roughly 30 to 50% off the immediate asap price. The default standard window targets about five minutes for 45 to 65% off. The flex window runs off-peak for 60 to 80% off.

Example models: Kimi K2.6, GLM-5

Full Sail Research profile

StreamLake

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 profile

Should you choose Sail Research or StreamLake?

Sail Research

Choose Sail Research for

Unattended code scans and background agents on open models.
Open-model tokens at 30 to 80% off for patient workloads.
Customer LoRA fine-tunes on open weights.

StreamLake

Choose StreamLake for

Interactive agentic coding on a subscription plan.
Using KAT-Coder inside Claude Code through a proxy.
Chinese businesses wanting domestic MaaS and bare metal.

Sail Research vs StreamLake at a glance

Attribute	Sail Research	StreamLake
Model access	Open weights	Proprietary coding models
Flagship models	Kimi K2.6, GLM-5, GPT-OSS 120B	KAT-Coder-Pro V2.5, KAT-Coder-Air
Speed	Minutes per turn by design	Unknown
Price	30–80% off by completion window	Per token or KwaiKAT Coding Plan
Customization	Customer LoRA fine-tunes	Unknown
Deployment	API plus Sailboxes	MaaS API, bare metal
Long context	Varies by model	Unknown

Frequently asked questions

What is the difference between Sail Research and StreamLake?

Sail Research discounts open models for background agents. StreamLake is Kuaishou's AI cloud serving its proprietary KAT-Coder models. Open and async versus closed and China-based.

When should I choose Sail Research over StreamLake?

Unattended code scans and background agents on open models; Open-model tokens at 30 to 80% off for patient workloads; Customer LoRA fine-tunes on open weights.

When should I choose StreamLake over Sail Research?

Interactive agentic coding on a subscription plan; Using KAT-Coder inside Claude Code through a proxy; Chinese businesses wanting domestic MaaS and bare metal.

Is Sail Research or StreamLake cheaper?

Sail Research: 30–80% off by completion window. StreamLake: Per token or KwaiKAT Coding Plan. The cheaper choice depends on the model and workload.

Related comparisons

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If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.

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