vs
Inference.net vs StreamLake
StreamLake sells Kuaishou's KAT-Coder and bare metal from China. Inference.net sells cheap batch and custom distilled models. Different buyers.
By The Subconscious Team · Updated
Inference.net vs StreamLake: key differences
StreamLake is the AI cloud of Kuaishou, selling model-as-a-service inference and bare-metal compute, with the proprietary KAT-Coder-Pro V2.5 coding model as its headline. It offers per-token pricing, a KwaiKAT Coding Plan and a Claude-protocol proxy for Claude Code. Inference.net sells capacity differently, aggregating spare GPU time for its Batch API and offering a gateway that captures traffic and distills it into a custom model on a dedicated GPU. One sells a finished model. The other sells cheap compute and a way to build your own.
StreamLake's data residency in China rules it out for many US and EU enterprises, while Chinese internet businesses may prefer it. Inference.net's model is open-ended: bring a task, and it helps replace a closed API call with a smaller fine-tuned model. For agentic coding on a subscription, StreamLake has a purpose-built model. For offline extraction, classification or custom distillation, Inference.net fits better.
What Inference.net and StreamLake do
Inference.net
Inference.net started as a buyer of last resort for idle GPU time. Its scheduler aggregates small unused chunks of capacity across data centers and runs models on them, and it passes the steep discounts it gets from those data centers on to customers. That origin still shows in its OpenAI compatible Batch API, which takes up to 1M requests per file with completion windows from 24 hours to 7 days and far higher headroom than synchronous limits.
Example models: GLM-5.2, Kimi K2.6, Schematron, customer fine-tunes
Full Inference.net 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, 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 profileShould you choose Inference.net or StreamLake?
Inference.net
Choose Inference.net for
- Offline extraction and classification at low cost
- Building a custom model from your traffic
- Teams that cannot use China-resident data
StreamLake
Choose StreamLake for
- Agentic coding with KAT-Coder-Pro V2.5
- Subscription coding plans inside Claude Code
- Chinese businesses needing domestic MaaS and bare metal
Inference.net vs StreamLake at a glance
| Attribute | Inference.net | StreamLake |
|---|---|---|
| Model access | Open, closed and custom | Proprietary coding models, plus hosted open models |
| Flagship models | Schematron, ClipTagger, customer fine-tunes | KAT-Coder-Pro V2.5, KAT-Coder-Air V2.5 |
| Speed | Batch windows of 24h to 7 days | Unknown |
| Price | Free pay-as-you-go; Growth $250/mo; B200 $9.98/hr | $0.74 in, $2.96 out (Pro V2.5), or KwaiKAT Coding Plan |
| Customization | Distill traces into custom models | Unknown |
| Deployment | Batch API, gateway, dedicated GPUs | MaaS API, bare metal |
| Long context | Varies by model | 256K |
Frequently asked questions
What is the difference between Inference.net and StreamLake?
StreamLake sells Kuaishou's KAT-Coder and bare metal from China. Inference.net sells cheap batch and custom distilled models. Different buyers.
When should I choose Inference.net over StreamLake?
Offline extraction and classification at low cost; Building a custom model from your traffic; Teams that cannot use China-resident data.
When should I choose StreamLake over Inference.net?
Agentic coding with KAT-Coder-Pro V2.5; Subscription coding plans inside Claude Code; Chinese businesses needing domestic MaaS and bare metal.
Is Inference.net or StreamLake cheaper?
Inference.net: Free pay-as-you-go; Growth $250/mo; B200 $9.98/hr. StreamLake: $0.74 in, $2.96 out (Pro V2.5), or KwaiKAT Coding Plan. The cheaper choice depends on the model and workload.
Which has more context, Inference.net or StreamLake?
Inference.net: Varies by model. StreamLake: 256K.
Related comparisons
Subconscious vs Inference.net
OpenAI vs Inference.net
Anthropic vs Inference.net
Google Vertex AI vs Inference.net
Amazon Bedrock vs Inference.net
Together AI vs Inference.net- Subconscious vs StreamLake
- OpenAI vs StreamLake
- Anthropic vs StreamLake
- Google Vertex AI vs StreamLake
- Amazon Bedrock vs StreamLake
- Together AI vs StreamLake
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.