--- title: "gateway vs GPTRouter" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/adaline-gateway-vs-writesonic-gptrouter" tools: ["adaline-gateway", "writesonic-gptrouter"] --- # gateway vs GPTRouter Neutral, constraint-first comparison with live GitHub stats. | | [gateway](/tools/adaline-gateway.md) | [GPTRouter](/tools/writesonic-gptrouter.md) | | --- | --- | --- | | Tagline | Super SDK for calling over 300+ LLMs locally | Your AI Model Gateway | | Stars | 600 | 454 | | Forks | 27 | 38 | | Open issues | 0 | 10 | | Language | TypeScript | TypeScript | | Adopt for | Adaline Gateway is a comprehensive SDK for local deployment, capable of calling more than 300 language models with integrated features like batching, caching, and extensible plugins. | GPTRouter is designed to manage multiple large language models and image generation services, focusing on reliability, speed, and versatility. It supports a wide range of models including OpenAI, Azure, Anthropic, Replic | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Inference & Serving, LLM Frameworks | Model Training, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gateway](/tools/adaline-gateway.md) | [GPTRouter](/tools/writesonic-gptrouter.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 28d | 818d | | Open issues (now) | 0 | 10 | | Full report | [trust report](/tools/adaline-gateway/trust.md) | [trust report](/tools/writesonic-gptrouter/trust.md) | **Typed relationship:** gateway _(alternative)_ GPTRouter Both GPTRouter and adaline-gateway aim to facilitate calling multiple LLMs by providing an integrated interface or SDK. ## Decision facts: gateway - **Pricing:** unknown - The repository description does not include pricing information. The software is available under the MIT license which allows for free usage but does not detail commercial support costs or enterprise- - **Adopt for:** Adaline Gateway is a comprehensive SDK for local deployment, capable of calling more than 300 language models with integrated features like batching, caching, and extensible plugins. ## Decision facts: GPTRouter - **Pricing:** freemium - GPTRouter is available under the MIT license, which supports free use and modification for both personal and commercial projects without requiring attribution. - **Adopt for:** GPTRouter is designed to manage multiple large language models and image generation services, focusing on reliability, speed, and versatility. It supports a wide range of models including OpenAI, Azure, Anthropic, Replic ## Choose when ### Choose gateway if… - Pricing: The repository description does not include pricing information. The software is available under the MIT license which allows for free usage but does not detail commercial support costs or enterprise-. - Both GPTRouter and adaline-gateway aim to facilitate calling multiple LLMs by providing an integrated interface or SDK. - Tags unique to gateway: llm, openai, typescript, prompt-engineering. - Also covers Inference & Serving. - - You require a fully local execution environment, thus avoiding any internet dependency or proxy setup. ### Choose GPTRouter if… - Pricing: GPTRouter is available under the MIT license, which supports free use and modification for both personal and commercial projects without requiring attribution.. - Both GPTRouter and adaline-gateway aim to facilitate calling multiple LLMs by providing an integrated interface or SDK. - Tags unique to GPTRouter: langchain, mlops, llama-index, azure-openai. - Also covers Model Training. - GPTRouter ships Docker support for self-hosted deployment. - - When you need flexible management across various AI models to ensure non-stop service without being dependent on just one model. - If your application requires handling latency issues effectively,GP ## When NOT to use gateway - - Your project depends on cloud-based API endpoints that require internet connectivity; Gateway operates fully locally and does not function as an online proxy. - - You do not need support from over 300 LLMs or the extensive feature set provided by Gateway, preferring a simpler SDK with fewer integrations. ## When NOT to use GPTRouter - - When the requirement is to use only one specific AI model for all requests and not switching models. - If you need streaming capabilities specifically with Image Models, as GPTRouter currently does - language_support_important_when_working_with_model_development_for_translation_or_localisation_projects.]: [ ## Common questions ### What is the difference between gateway and GPTRouter? gateway: Super SDK for calling over 300+ LLMs locally. GPTRouter: Your AI Model Gateway. See the comparison table for live GitHub stats and shared categories. ### When should I choose gateway over GPTRouter? Choose gateway over GPTRouter when Pricing: The repository description does not include pricing information. The software is available under the MIT license which allows for free usage but does not detail commercial support costs or enterprise-; Both GPTRouter and adaline-gateway aim to facilitate calling multiple LLMs by providing an integrated interface or SDK; Tags unique to gateway: llm, openai, typescript, prompt-engineering; Also covers Inference & Serving; - You require a fully local execution environment, thus avoiding any internet dependency or proxy setup. ### When should I choose GPTRouter over gateway? Choose GPTRouter over gateway when Pricing: GPTRouter is available under the MIT license, which supports free use and modification for both personal and commercial projects without requiring attribution.; Both GPTRouter and adaline-gateway aim to facilitate calling multiple LLMs by providing an integrated interface or SDK; Tags unique to GPTRouter: langchain, mlops, llama-index, azure-openai; Also covers Model Training; GPTRouter ships Docker support for self-hosted deployment; - When you need flexible management across various AI models to ensure non-stop service without being dependent on just one model. - If your application requires handling latency issues effectively,GP. ### When should I avoid gateway? - Your project depends on cloud-based API endpoints that require internet connectivity; Gateway operates fully locally and does not function as an online proxy. - You do not need support from over 300 LLMs or the extensive feature set provided by Gateway, preferring a simpler SDK with fewer integrations. ### When should I avoid GPTRouter? - When the requirement is to use only one specific AI model for all requests and not switching models. - If you need streaming capabilities specifically with Image Models, as GPTRouter currently does language_support_important_when_working_with_model_development_for_translation_or_localisation_projects.]: [ ### Is gateway or GPTRouter more popular on GitHub? gateway has more GitHub stars (600 vs 454). Stars measure visibility, not whether either tool fits your constraints. ### Are gateway and GPTRouter open source? Yes - both are open-source projects on GitHub (gateway: MIT, GPTRouter: MIT). ### Where can I find alternatives to gateway or GPTRouter? GraphCanon lists graph-backed alternatives at /tools/adaline-gateway/alternatives and /tools/writesonic-gptrouter/alternatives (/tools/adaline-gateway/alternatives.md, /tools/writesonic-gptrouter/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/adaline-gateway-vs-writesonic-gptrouter.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gateway or GPTRouter? gateway: Active. GPTRouter: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for gateway and GPTRouter? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gateway: /tools/adaline-gateway/trust; GPTRouter: /tools/writesonic-gptrouter/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=adaline-gateway`](/api/graphcanon/graph?tool=adaline-gateway) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_