StreamLake vs General Compute

StreamLake is Kuaishou's AI cloud built around KAT-Coder models. General Compute serves open models from us-west-2 with fast ASIC decode.

By The Subconscious Team · Updated October 27, 2026

StreamLake vs General Compute: key differences

StreamLake sells KAT-Coder-Pro V2.5 at $0.74 in and $2.96 out per million tokens and KAT-Coder-Air V2.5 at $0.15 in and $0.60 out with 256K context, or a KwaiKAT Coding Plan. It offers OpenAI-protocol endpoints plus a Claude-protocol proxy for Claude Code, along with bare-metal compute. General Compute serves MiniMax M2.7, DeepSeek V3.2, DeepSeek V3.1 and GPT-OSS 120B through an OpenAI-compatible API in us-west-2, with no Anthropic Messages endpoint. In its own benchmark it measured over 1,000 tokens per second on GPT-OSS 120B.

Pick StreamLake for a dedicated agentic coding model inside Claude Code on a subscription, or for domestic capacity in China. Pick General Compute when US hosting and fast decode on open models matter more, or when you want to bring a fine-tuned checkpoint or reserve capacity under a throughput SLA.

What StreamLake and General Compute 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 it also hosts third-party open models like DeepSeek V4 Flash 0731.

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

Full StreamLake profile

General Compute

General Compute is a San Francisco inference cloud built on alternative chips. It splits each request across hardware, with NVIDIA GPUs handling prefill and ASICs from Cerebras, SambaNova, Positron AI and d-Matrix handling decode. In its own open benchmark on GPT-OSS 120B it measured 1,025 to 1,234 output tokens per second against 100 to 121 on an unnamed GPU cloud, and up to 16.2x faster end to end. Founders Finn Puklowski and Jason Goodison raised a $15M seed led by FUSE, an up to $400M debt facility from Upper90 and, on October 27, 2026, a $100M Series A co-led by Blackbird and Abstract.

Example models: MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B

Full General Compute profile

Should you choose StreamLake or General Compute?

StreamLake

Choose StreamLake for

Agentic coding on KAT-Coder
Claude Code through a subscription plan
MaaS and bare metal in China

General Compute

Choose General Compute for

US-hosted open models
Fast decode for agent loops
Custom fine-tuned checkpoints

StreamLake vs General Compute at a glance

Attribute	StreamLake	General Compute
Model access	Proprietary coding models, plus hosted open models	Open weights
Flagship models	KAT-Coder-Pro V2.5, KAT-Coder-Air V2.5	MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B
Speed	Unknown	1,000+ tok/s on GPT-OSS 120B (vendor)
Price	$0.74 in, $2.96 out (Pro V2.5), or KwaiKAT Coding Plan	$0.21–$0.28 in, $0.38–$1.20 out per 1M
Customization	Unknown	Custom LoRA and fine-tuned checkpoints
Deployment	MaaS API, bare metal	Serverless API, dedicated racks, bare metal
Long context	256K	192K (MiniMax M2.7)

Frequently asked questions

What is the difference between StreamLake and General Compute?

StreamLake is Kuaishou's AI cloud built around KAT-Coder models. General Compute serves open models from us-west-2 with fast ASIC decode.

When should I choose StreamLake over General Compute?

Agentic coding on KAT-Coder; Claude Code through a subscription plan; MaaS and bare metal in China.

When should I choose General Compute over StreamLake?

US-hosted open models; Fast decode for agent loops; Custom fine-tuned checkpoints.

Is StreamLake or General Compute cheaper?

StreamLake: $0.74 in, $2.96 out (Pro V2.5), or KwaiKAT Coding Plan. General Compute: $0.21–$0.28 in, $0.38–$1.20 out per 1M. The cheaper choice depends on the model and workload.

Which has more context, StreamLake or General Compute?

StreamLake: 256K. General Compute: 192K (MiniMax M2.7).

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.

Subconscious vs StreamLake Subconscious vs General Compute