# KAT-Dev vs Relace KAT-Dev records 0 monthly visits with 0% month-over-month growth and Free, Open Source pricing. Relace records 8,865 monthly visits with -48.5% growth and Freemium, Paid pricing. | Metric | [KAT-Dev](https://openaitools.app/tool/kat-dev) | [Relace](https://openaitools.app/tool/relace) | | :--- | :--- | :--- | | Website URL | https://kat-dev.dev | https://www.relace.ai | | Categories | AI Code Assistant, AI Code Generator, Large Language Models (LLMs), Open Source AI Models | AI Developer Tools, AI Agent, AI Code Assistant, AI Code Generator | | Pricing Model | Free, Open Source | Freemium, Paid | | Monthly Visits | 0 | 8,865 | | MoM Growth Rate | 0% | -48.5% | | Primary Market | Global | United States | | Direct Visits | 0 | 3,579 | | Review Score | 4.3 | 4.4 | | Saved Count | 1 | 0 | | Supported Platforms | Website | Website | ## KAT-Dev KAT-Dev is an open-weight large language model created by Kwaipilot and aimed at coding and software engineering workflows. With 33 billion parameters, it is designed to help developers generate code, fix bugs, refactor existing logic, write tests and produce documentation. The model is published openly, so engineering teams can pull the weights and run them in their own infrastructure or rely on third-party inference providers that already serve it. What sets KAT-Dev apart is its focus on repository-scale coding assistance rather than generic chat. It supports tool-calling and a structured prompt format that lets it interact with a computer or coding agent to complete multi-step tasks, which makes it suitable for agentic developer tooling and automated software tasks. The model is tagged as multilingual and conversational on its distribution page. Because KAT-Dev is licensed under Apache-2.0, it can be embedded into commercial products and internal tools. Developers typically evaluate it against established coding benchmarks and integrate it through transformers-based pipelines or an API endpoint. Note that kat-dev.dev occasionally blocks automated crawlers; the project itself remains available through its public model repositories. **Pricing & Plans:** KAT-Dev is released as open weights under the Apache-2.0 license, so the model itself is free to download and self-host. Costs apply only to the compute you use (your own GPUs or a paid third-party inference provider). - **33B open-weight coding model:** A 33-billion-parameter language model released with open weights for self-hosting and customization. - **Software-engineering focus:** Optimized for code generation, bug fixing, refactoring, performance optimization, test generation and code documentation. - **Agentic tool calling:** Supports a structured tool-call format so it can operate inside coding agents and complete multi-step tasks. - **Apache-2.0 license:** Permissive licensing allows commercial and internal use, fine-tuning and redistribution. - **Inference-provider ready:** Available through mainstream inference providers and transformers-compatible pipelines for quick adoption. **Strengths:** Open weights under a permissive Apache-2.0 license; Strong coding and repository-level reasoning focus; Self-hostable for data-sensitive engineering teams; Available through public inference providers for quick testing **Limitations:** 33B parameters need meaningful GPU resources to self-host; Not a managed SaaS product with an official hosted dashboard; Requires benchmark evaluation and tuning to fit specific codebases [Profile (Markdown)](https://openaitools.app/tool/kat-dev.md) ## Relace Relace provides an API-first inference service for open-weight frontier models. Developers sign up, get an API key, and call models such as DeepSeek, Kimi and GLM variants directly, paying only for the tokens they use. All models are billed per token on a pay-as-you-go basis with no subscription or minimum spend, and prompts that reuse a cached prefix are discounted substantially. The company reports serving tens of trillions of tokens per month and consistently ranks among the top providers on OpenRouter, often as the cheapest option for the models it hosts. Rather than training its own models, Relace focuses on the efficiency of the serving stack — scheduling, batching and GPU utilization — so that it can pass lower costs on to customers. The same models are also reachable through OpenRouter if you prefer a routing layer, while direct access gives you the lowest latency and volume pricing. Team members are reachable by email for large token spenders, GPU partners and hiring conversations. The product is aimed at developers and companies building AI applications that need reliable, cheap access to strong open models at scale. Because prices are repriced frequently, the rate returned by the API at request time is the one you pay. **Pricing & Plans:** Pay-as-you-go, per-token pricing with no subscription or minimum. Input, cached input and output tokens are billed separately; volume pricing is available on request. Some model listings may also appear as free on routing platforms. - **Pay-as-you-go per-token API:** No subscription or minimum commitment — you are billed only for the input, cached input and output tokens you consume. - **Discounted cached input:** Reusing a cached prefix costs a fraction of the standard input price, which lowers cost for repetitive or agentic workloads. - **Open-weight frontier models:** Serve popular open models such as DeepSeek, Kimi and GLM families through one consistent endpoint. - **High-throughput serving stack:** Optimized scheduling and GPU utilization help Relace rank among the top providers by daily token volume on OpenRouter. - **Direct key or OpenRouter access:** Get an API key for direct low-latency calls, or reach the same models through the OpenRouter routing layer. **Strengths:** Very competitive per-token pricing, often cheapest for the models served; No subscription or minimum spend — pure pay-as-you-go; Large cached-input discounts reward prompt reuse; High daily token volume and strong OpenRouter rankings suggest reliable scale **Limitations:** As an open-weight serving provider it does not train or host proprietary frontier models; Pricing changes frequently, so costs can shift over time; The website notes it is updated infrequently, so some marketing pages lag the product [Profile (Markdown)](https://openaitools.app/tool/relace.md) ## Frequently Asked Questions ### How do KAT-Dev and Relace compare in monthly traffic? KAT-Dev has 0 monthly visits, while Relace has 8,865. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? KAT-Dev has a month-over-month growth rate of 0%; Relace has -48.5%. ### How does pricing compare? KAT-Dev: Free, Open Source. KAT-Dev is released as open weights under the Apache-2.0 license, so the model itself is free to download and self-host. Costs apply only to the compute you use (your own GPUs or a paid third-party inference provider). Relace: Freemium, Paid. Pay-as-you-go, per-token pricing with no subscription or minimum. Input, cached input and output tokens are billed separately; volume pricing is available on request. Some model listings may also appear as free on routing platforms. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) | | 2 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Alibaba Cloud's 4th-generation multimodal AI assistant and foundation model lineup (Qwen4-Max, Qwen4-Plus, Qwen4-Flash & open-weight Qwen4-27B) with 1M context. | [.md](https://openaitools.app/tool/qwen-4.md) | | 3 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Write code with precision, hand bigger jobs to agents, and keep working from anywhere | [.md](https://openaitools.app/tool/vs-code.md) | | 4 | [Gemma Open Models by Google](https://openaitools.app/tool/gemma-open-models-by-google) | 4,900,914 | -13.5% | Freemium, Paid | Google's family of lightweight, open-weight AI models | [.md](https://openaitools.app/tool/gemma-open-models-by-google.md) | | 5 | [Pi Coding Agent](https://openaitools.app/tool/pi-coding-agent) | 1,929,244 | +4% | Free | A minimal, extensible terminal coding agent you can reshape | [.md](https://openaitools.app/tool/pi-coding-agent.md) | | 6 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all b | [.md](https://openaitools.app/tool/together-ai.md) | | 7 | [You.com](https://openaitools.app/tool/you) | 948,349 | +7% | Freemium | Search and inference APIs that give AI models real-time web data | [.md](https://openaitools.app/tool/you.md) | | 8 | [Unsloth AI](https://openaitools.app/tool/unsloth-ai) | 887,457 | -17.6% | Free | Open-source, memory-efficient fine-tuning and local model running | [.md](https://openaitools.app/tool/unsloth-ai.md) | | 9 | [BLACKBOX.AI](https://openaitools.app/tool/blackbox-ai-1) | 622,975 | -27.2% | Free Trial, Paid | High-trust frontier inference, encrypted end to end | [.md](https://openaitools.app/tool/blackbox-ai-1.md) | | 10 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Low-cost serverless inference APIs for 200+ open models | [.md](https://openaitools.app/tool/deep-infra.md) | --- Source: https://openaitools.app/compare/kat-dev-vs-relace More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)