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Relace vs StreamLake

StreamLake sells KAT-Coder, a proprietary agentic coding model; Relace sells the fast apply and search models that coding agents call as tools. A main model and its helpers.

By The Subconscious Team · Updated

Relace vs StreamLake: key differences

StreamLake and Relace both serve coding agents from different layers. StreamLake, Kuaishou's AI cloud, sells KAT-Coder-Pro V2.5, a proprietary model that StreamLake says was trained with large-scale agentic RL to read issues, change files across a repo, run tests and fix its own errors. It plugs into Claude Code through a Claude-protocol proxy and sells per token or on a KwaiKAT Coding Plan. Relace's own models do not write the code. They apply it, merging edit snippets at about 10,000 tokens per second, and adds agentic search and context compaction.

In one stack, KAT-Coder could plan and write changes while Relace merges them and pulls relevant code, which Relace says runs over 3x faster and cheaper than full rewrites by the big model. Data location may decide whether that pairing is allowed. StreamLake keeps data in China, while Relace offers self-hosted deployment for enterprises that keep code in-house. Relace's apply model caps at 128K tokens, so very large files need a fallback.

What Relace and StreamLake do

Relace

Relace started out training small, fast models that act as tools for coding agents, and by October 2026 its homepage led with open-model inference instead. It says it served 30 trillion tokens in the 30 days to late October and ranks among the top providers on OpenRouter. The hosted catalog covers DeepSeek V4 Pro, V4 Flash and V4.1 Flash, Kimi K3, GLM 5.3, GLM 5.3 Flash and GLM 5.2 over OpenAI and Anthropic compatible APIs, billed per token with no subscription. Prices run from $0.07 in and $0.14 out per million tokens on DeepSeek V4 Flash to $2.00 in and $14.00 out on Kimi K3, and Relace says it reprices often.

Example models: DeepSeek V4.1 Flash, Kimi K3, GLM 5.3, relace-apply-3

Full Relace profile

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

Should you choose Relace or StreamLake?

Relace

Choose Relace for

  • Fast edit merges beside any main coding model
  • Self-hosted tooling for proprietary code
  • Parallel search over large repositories

StreamLake

Choose StreamLake for

  • A main agentic coding model on a subscription plan
  • Repository-level coding inside Claude Code
  • Chinese businesses wanting domestic MaaS

Relace vs StreamLake at a glance

AttributeRelaceStreamLake
Model accessOpen weights, plus specialist coding modelsProprietary coding models, plus hosted open models
Flagship modelsDeepSeek V4.1 Flash, Kimi K3, GLM 5.3, relace-apply-3KAT-Coder-Pro V2.5, KAT-Coder-Air V2.5
Speed~10,000 tok/s applyUnknown
Price$0.07 in, $0.50 out (DeepSeek V4.1 Flash)$0.74 in, $2.96 out (Pro V2.5), or KwaiKAT Coding Plan
CustomizationUnknownUnknown
DeploymentHosted API, OpenRouter or self-hostedMaaS API, bare metal
Long context128K on apply; varies by open model256K

Frequently asked questions

What is the difference between Relace and StreamLake?

StreamLake sells KAT-Coder, a proprietary agentic coding model; Relace sells the fast apply and search models that coding agents call as tools. A main model and its helpers.

When should I choose Relace over StreamLake?

Fast edit merges beside any main coding model; Self-hosted tooling for proprietary code; Parallel search over large repositories.

When should I choose StreamLake over Relace?

A main agentic coding model on a subscription plan; Repository-level coding inside Claude Code; Chinese businesses wanting domestic MaaS.

Is Relace or StreamLake cheaper?

Relace: $0.07 in, $0.50 out (DeepSeek V4.1 Flash). 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, Relace or StreamLake?

Relace: 128K on apply; varies by open model. StreamLake: 256K.

Related comparisons

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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.