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Parasail vs StreamLake
StreamLake sells Kuaishou's proprietary KAT-Coder models from China. Parasail runs open models on aggregated GPUs. A proprietary coding model against an open host.
By The Subconscious Team · Updated
Parasail vs StreamLake: key differences
StreamLake's pitch centers on one proprietary model. KAT-Coder-Pro V2.5 comes from Kuaishou's KwaiKAT team, and StreamLake says agentic reinforcement learning trained it for repository-level coding. It is sold per token or through a KwaiKAT Coding Plan, with a Claude-protocol proxy for Claude Code. Parasail has no model of its own. It runs any open Hugging Face model on serverless, elastic, dedicated or batch tiers, which makes it a place to run an open coding model instead, on real-time endpoints for the agent and batch for evals.
Buyer fit is the bigger split. StreamLake's pricing and docs lead with China and yuan, and data residency in China rules it out for many US and EU enterprises. Parasail targets AI-native startups, most of which start by running it beside a closed-model vendor before shifting workloads under a ZDR and SLA agreement. StreamLake also sells bare metal for Chinese internet businesses on Kuaishou's infrastructure. Parasail's reserved GPUs are quote-only.
What Parasail and StreamLake do
Parasail
Parasail calls itself the inference cloud for AI-native startups. Instead of owning data centers, it aggregates GPUs from many hardware providers and sells them through one OpenAI-compatible API. Customers choose serverless per-token endpoints, Elastic Endpoints that scale with traffic and bill only for tokens used, dedicated deployments with negotiated latency SLAs, or batch. Its commit-to-spend model lets one commitment draw down across any model or hardware.
Example models: GTE-Qwen2, Qwen3-VL-8B-Instruct
Full Parasail 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 Parasail or StreamLake?
Parasail
Choose Parasail for
- Open coding models under ZDR terms
- Startups moving off closed APIs
- Batch evals of coding agents
StreamLake
Choose StreamLake for
- KAT-Coder-Pro V2.5 in Claude Code
- Subscription pricing for agentic coding
- Chinese businesses wanting domestic capacity
Parasail vs StreamLake at a glance
| Attribute | Parasail | StreamLake |
|---|---|---|
| Model access | Any Hugging Face model | Proprietary coding models |
| Flagship models | GTE-Qwen2, Qwen3-VL-8B-Instruct | KAT-Coder-Pro V2.5, KAT-Coder-Air |
| Speed | 600ms p99 real-time budget | Unknown |
| Price | Per-parameter rates; batch 50% off | Per token or KwaiKAT Coding Plan |
| Customization | Private Hugging Face repos | Unknown |
| Deployment | Serverless, elastic, dedicated, batch | MaaS API, bare metal |
| Long context | Varies by model | Unknown |
Frequently asked questions
What is the difference between Parasail and StreamLake?
StreamLake sells Kuaishou's proprietary KAT-Coder models from China. Parasail runs open models on aggregated GPUs. A proprietary coding model against an open host.
When should I choose Parasail over StreamLake?
Open coding models under ZDR terms; Startups moving off closed APIs; Batch evals of coding agents.
When should I choose StreamLake over Parasail?
KAT-Coder-Pro V2.5 in Claude Code; Subscription pricing for agentic coding; Chinese businesses wanting domestic capacity.
Is Parasail or StreamLake cheaper?
Parasail: Per-parameter rates; batch 50% off. StreamLake: Per token or KwaiKAT Coding Plan. The cheaper choice depends on the model and workload.
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