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Nebius vs StreamLake
Kuaishou's AI cloud built around its KAT-Coder models against a European cloud serving 60+ open models. Residency points in opposite directions.
By The Subconscious Team · Updated
Nebius vs StreamLake: key differences
StreamLake is the AI cloud of Kuaishou, and its headline product is a proprietary agentic coding model, KAT-Coder-Pro V2.5, sold per token or through a KwaiKAT Coding Plan with a Claude-protocol proxy for Claude Code. Nebius is a neutral host: open models from many labs through Token Factory, dedicated endpoints, uploaded fine-tunes and raw GPUs. Both sell bare-metal style compute, but StreamLake's is pitched at Chinese internet businesses and Nebius's at European and global buyers. Kuaishou built that infrastructure to serve short video at massive scale.
Residency is the sharpest difference. StreamLake's data sits in China and its pricing and docs lead with yuan, which complicates Western procurement. Nebius offers EU or US placement and is backed by capacity deals with Microsoft and Meta. The case for StreamLake is the model itself: direct access to Kuaishou's in-house coder on a subscription plan, trained with agentic reinforcement learning for repository-level work. The case for Nebius is choice and control across open models, plus the option to fine-tune and serve your own.
What Nebius and StreamLake do
Nebius
Nebius is an Amsterdam-headquartered AI cloud and the strongest European alternative to the US hyperscalers. It sells raw NVIDIA GPU compute, from H100s at $2.15 an hour preemptible up to GB300 NVL72 racks, and it has begun adding Vera Rubin. Hyperscale buyers back it: a Microsoft capacity deal worth about $17.4B in September 2025, then a Meta agreement worth up to about $27B in March 2026.
Example models: DeepSeek V3, GPT-OSS
Full Nebius 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 Nebius or StreamLake?
Nebius
Choose Nebius for
- US and EU enterprises that need in-region inference
- Choosing among many open models rather than one vendor's coder
- Serving your own fine-tuned checkpoint with an SLA
StreamLake
Choose StreamLake for
- Low-cost agentic coding with KAT-Coder on a subscription
- Dropping a proprietary coding model into Claude Code
- Chinese businesses that want domestic model APIs and bare metal
Nebius vs StreamLake at a glance
| Attribute | Nebius | StreamLake |
|---|---|---|
| Model access | Open weights, 60+ models | Proprietary coding models |
| Flagship models | DeepSeek, Qwen, GLM, Kimi, GPT-OSS | KAT-Coder-Pro V2.5, KAT-Coder-Air |
| Speed | Among top hosts on throughput | Unknown |
| Price | From $0.06 per 1M input | Per token or KwaiKAT Coding Plan |
| Customization | Serve uploaded fine-tunes | Unknown |
| Deployment | Token Factory, dedicated, raw GPUs | MaaS API, bare metal |
| Long context | Varies by model | Unknown |
Frequently asked questions
What is the difference between Nebius and StreamLake?
Kuaishou's AI cloud built around its KAT-Coder models against a European cloud serving 60+ open models. Residency points in opposite directions.
When should I choose Nebius over StreamLake?
US and EU enterprises that need in-region inference; Choosing among many open models rather than one vendor's coder; Serving your own fine-tuned checkpoint with an SLA.
When should I choose StreamLake over Nebius?
Low-cost agentic coding with KAT-Coder on a subscription; Dropping a proprietary coding model into Claude Code; Chinese businesses that want domestic model APIs and bare metal.
Is Nebius or StreamLake cheaper?
Nebius: From $0.06 per 1M input. StreamLake: Per token or KwaiKAT Coding Plan. The cheaper choice depends on the model and workload.
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