StreamLake vs Particle.AI

A big-company AI cloud with a closed coding model against an early startup serving cheap open Flash models through Vercel AI Gateway.

By The Subconscious Team · Updated October 29, 2026

StreamLake vs Particle.AI: key differences

StreamLake and Particle AI differ in almost every way. StreamLake is the AI cloud of Kuaishou, the short-video company behind Kling, and its headline product is KAT-Coder-Pro V2.5, a proprietary agentic coding model sold per token or through a KwaiKAT Coding Plan, with a Claude-protocol proxy for Claude Code. Particle AI is an early San Francisco startup still hiring its founding team. It serves a few open Flash-class models through its own API and Vercel AI Gateway, such as GLM 5.3 Flash at $0.15 in and $0.50 out, all with 1M context.

For coding agents, StreamLake offers a specialized model and a subscription. Particle offers low per-token prices on general Flash models, with cache reads at $0.03 per million, and no new contract for teams already on Vercel's gateway. StreamLake's constraint is China data residency. Particle's are a tiny catalog, little track record and slow latency on some listings, like about 1.9 seconds to first token on Particle-1 via Vercel AI Gateway. Western teams wanting cheap tokens can try Particle. Teams in China wanting a coding plan fit StreamLake.

What StreamLake and Particle.AI 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, and its Vanchin platform also hosts third-party open models from DeepSeek and GLM, most recently DeepSeek V4.1 Flash 1017.

Example models: KAT-Coder-Pro V2.5, KAT-Coder-Air V2.5

Full StreamLake profile

Particle.AI

Particle AI is an early San Francisco infrastructure startup with a mission to make intelligence as cheap and abundant as electricity. The team works on post-training, inference optimization and distributed systems, all aimed at pushing down cost per unit of intelligence. It is still hiring its founding team and works fully in person. Mixpanel founder Suhail Doshi started it, with backing from Y Combinator, 8VC, Caffeinated Capital and angels including Patrick Collison, Adam D'Angelo and Aaron Levie.

Example models: Particle-1, DeepSeek V4.1 Flash, GLM 5.3 Flash

Full Particle.AI profile

Should you choose StreamLake or Particle.AI?

StreamLake

Choose StreamLake for

A dedicated agentic coding model on a subscription
KAT-Coder inside Claude Code
Chinese businesses that need domestic capacity

Particle.AI

Choose Particle.AI for

Cheap Flash-class calls with 1M context
Trying a new route inside Vercel AI Gateway
High-volume DeepSeek and GLM Flash workloads

StreamLake vs Particle.AI at a glance

Attribute	StreamLake	Particle.AI
Model access	Proprietary coding models, plus hosted open models	Open weights plus its own Particle-1 tune
Flagship models	KAT-Coder-Pro V2.5, KAT-Coder-Air V2.5	Particle-1, DeepSeek V4.1 Flash, GLM 5.3 Flash
Speed	Unknown	~110 tok/s on Particle-1 (Vercel AI Gateway)
Price	$0.74 in, $2.96 out (Pro V2.5), or KwaiKAT Coding Plan	$0.15 in, $0.50 out (GLM 5.3 Flash); $0.25 in, $1 out (Particle-1)
Customization	Unknown	Unknown
Deployment	MaaS API, bare metal	Serverless API, Vercel AI Gateway
Long context	256K	1M

Frequently asked questions

What is the difference between StreamLake and Particle.AI?

A big-company AI cloud with a closed coding model against an early startup serving cheap open Flash models through Vercel AI Gateway.

When should I choose StreamLake over Particle.AI?

A dedicated agentic coding model on a subscription; KAT-Coder inside Claude Code; Chinese businesses that need domestic capacity.

When should I choose Particle.AI over StreamLake?

Cheap Flash-class calls with 1M context; Trying a new route inside Vercel AI Gateway; High-volume DeepSeek and GLM Flash workloads.

Is StreamLake or Particle.AI cheaper?

StreamLake: $0.74 in, $2.96 out (Pro V2.5), or KwaiKAT Coding Plan. Particle.AI: $0.15 in, $0.50 out (GLM 5.3 Flash); $0.25 in, $1 out (Particle-1). The cheaper choice depends on the model and workload.

Which has more context, StreamLake or Particle.AI?

StreamLake: 256K. Particle.AI: 1M.

Related comparisons

Running long-horizon agents?

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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