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StreamLake vs RunInfra

Two coding-plan providers for agent CLIs. StreamLake offers Kuaishou's proprietary KAT-Coder; RunInfra offers mid-size open models and an agent that builds deployments.

By The Subconscious Team · Updated

StreamLake vs RunInfra: key differences

Both sell cheap subscriptions that plug coding agents into their models. StreamLake's KwaiKAT Coding Plan runs KAT-Coder-Pro V2.5, a proprietary model StreamLake says was trained for repository-level work over long runs, through OpenAI-protocol endpoints and a Claude-protocol proxy for Claude Code. RunInfra's coding plans start at $10 a month with limits that reset every five hours and weekly, and run mid-size open models like Nemotron 3.5 Lightning 30B and Qwen 3.8 27B across Claude Code, Codex, OpenCode, Cline and Aider.

Past the plans, their businesses differ. StreamLake is Kuaishou's AI cloud and sells model-as-a-service and bare-metal compute to internet businesses, mostly in China, where its data resides. That residency, plus yuan-first pricing, complicates Western procurement. RunInfra is a young company with little independent benchmarking, and its library sits far from frontier quality, but it offers an agent that benchmarks and deploys a tuned model for you, plus uploads up to 50 GB and voice pipelines. Western solo developers lean toward RunInfra. Chinese teams lean toward StreamLake.

What StreamLake and RunInfra do

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

RunInfra

RunInfra pitches open models built for agents, with two ways in. Its hosted Model APIs serve a small curated library, including Nemotron 3.5 Lightning 30B, Qwen 3.8 27B and Ornith 1.5 35B, behind one key that works with both the OpenAI and Anthropic SDKs. Cached context bills at a discount. Coding plans start at $10 a month with limits that reset every five hours and every week, and they plug into Claude Code, Codex, OpenCode, Cline, Aider and dozens of other agent CLIs.

Example models: Nemotron 3.5 Lightning 30B, Qwen 3.8 27B

Full RunInfra profile

Should you choose StreamLake or RunInfra?

StreamLake

Choose StreamLake for

  • A purpose-built proprietary agentic coding model
  • Domestic MaaS and bare metal inside China
  • Backing from a large company with hyperscale infrastructure

RunInfra

Choose RunInfra for

  • Flat-rate open models across many agent CLIs
  • Deploying custom or tuned models without ML ops
  • Voice pipelines chaining speech, LLM and TTS

StreamLake vs RunInfra at a glance

AttributeStreamLakeRunInfra
Model accessProprietary coding modelsOpen weights
Flagship modelsKAT-Coder-Pro V2.5, KAT-Coder-AirNemotron 3.5 Lightning 30B, Qwen 3.8 27B
SpeedUnknownCold starts under 2s
PricePer token or KwaiKAT Coding PlanCoding plans from $10 a month
CustomizationUnknownUploads up to 50 GB; auto-quantization
DeploymentMaaS API, bare metalModel APIs, agent-built endpoints
Long contextUnknownVaries by model

Frequently asked questions

What is the difference between StreamLake and RunInfra?

Two coding-plan providers for agent CLIs. StreamLake offers Kuaishou's proprietary KAT-Coder; RunInfra offers mid-size open models and an agent that builds deployments.

When should I choose StreamLake over RunInfra?

A purpose-built proprietary agentic coding model; Domestic MaaS and bare metal inside China; Backing from a large company with hyperscale infrastructure.

When should I choose RunInfra over StreamLake?

Flat-rate open models across many agent CLIs; Deploying custom or tuned models without ML ops; Voice pipelines chaining speech, LLM and TTS.

Is StreamLake or RunInfra cheaper?

StreamLake: Per token or KwaiKAT Coding Plan. RunInfra: Coding plans from $10 a month. The cheaper choice depends on the model and workload.

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