--- title: "whichllm vs aisix" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/andyyyy64-whichllm-vs-api7-aisix" tools: ["andyyyy64-whichllm", "api7-aisix"] --- # whichllm vs aisix *GraphCanon updated Sep 20, 2026* ## Verdict Pick whichllm if whichllm is designed to help users identify and benchmark local large language models that perform well on their specific hardware configuration via real-time benchmarks; pick aisix if aISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers. [whichllm](https://github.com/Andyyyy64/whichllm) reports 6.7k GitHub stars, 368 forks, and 13 open issues, last pushed Sep 19, 2026. [aisix](https://api7.ai/ai-gateway) has 151 stars, 30 forks, and 106 open issues, last pushed Sep 13, 2026. Figures are from public GitHub metadata via [whichllm's repository](https://github.com/Andyyyy64/whichllm) and [aisix's repository](https://github.com/api7/aisix). | | [whichllm](/tools/andyyyy64-whichllm.md) | [aisix](/tools/api7-aisix.md) | | --- | --- | --- | | Tagline | Command-line tool to find and benchmark local LLM performance | Open-source AI gateway for LLMs & AI agents | | Stars | 6,666 | 151 | | Forks | 368 | 30 | | Open issues | 13 | 106 | | Language | Python | Rust | | Adopt for | whichllm is designed to help users identify and benchmark local large language models that perform well on their specific hardware configuration via real-time benchmarks. | AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers | | Persona | - | - | | Runtime | - | - | | License | MIT | AISIX is available under the Apache License, Version 2.0 which allows you to freely use, modify, and distribute it with proper attribution | | Categories | Evaluation & Observability, Inference & Serving | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [whichllm](/tools/andyyyy64-whichllm.md) | [aisix](/tools/api7-aisix.md) | | --- | --- | --- | | Open issues (now) | 13 | 106 | | Stars delta | +441 (30d) | +59 (30d) | | Open issues delta | -9 (30d) | +8 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/andyyyy64-whichllm/trust.md) | [trust report](/tools/api7-aisix/trust.md) | ## Decision facts: whichllm - **Adopt for:** whichllm is designed to help users identify and benchmark local large language models that perform well on their specific hardware configuration via real-time benchmarks. ## Decision facts: aisix - **Pricing:** freemium - The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model. - **Requirements:** Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files - **Adopt for:** AISIX is a Rust-native AI gateway designed for routing and managing traffic to various AI providers - **License detail:** AISIX is available under the Apache License, Version 2.0 which allows you to freely use, modify, and distribute it with proper attribution ## Choose when ### Choose whichllm if… - whichllm is primarily Python; aisix is Rust. - License: whichllm is MIT, aisix is Apache-2.0. - Tags unique to whichllm: ai, apple-silicon, benchmarks, cli. - Also covers Evaluation & Observability. - When you need to quickly discover which locally available LLM runs most efficiently on your Apple Silicon or GPU infrastructure using Python scripts ### Choose aisix if… - aisix is primarily Rust; whichllm is Python. - License: aisix is Apache-2.0, whichllm is MIT. - Pricing: The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model.. - Requirements: Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files. - Tags unique to aisix: ai-agents, llm-gateway, observability, openai-compatible. - Also covers AI Agents. - aisix ships Docker support for self-hosted deployment. - When you need an OpenAI-compatible API that can route requests to multiple LLM providers like OpenAI, Anthropic, Gemini, and Bedrock ## When NOT to use whichllm - In scenarios where extensive customization of benchmarking criteria beyond what this tool offers is required - When you are working in a non-Python environment and prefer not to introduce Python scripts into your workflow ## When NOT to use aisix - If you require a fully managed service with minimal setup and configuration since AISIX requires self-hosting or connecting to AISIX Cloud for management features - For projects preferring dynamic languages over statically compiled binaries, given that AISIX is built in Rust and ships as one static binary ## Common questions ### What is the difference between whichllm and aisix? whichllm: Command-line tool to find and benchmark local LLM performance. aisix: Open-source AI gateway for LLMs & AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose whichllm over aisix? Choose whichllm over aisix when whichllm is primarily Python; aisix is Rust; License: whichllm is MIT, aisix is Apache-2.0; Tags unique to whichllm: ai, apple-silicon, benchmarks, cli; Also covers Evaluation & Observability; When you need to quickly discover which locally available LLM runs most efficiently on your Apple Silicon or GPU infrastructure using Python scripts. ### When should I choose aisix over whichllm? Choose aisix over whichllm when aisix is primarily Rust; whichllm is Python; License: aisix is Apache-2.0, whichllm is MIT; Pricing: The open-source core (AISIX Gateway) can be used for free. For advanced features like team governance, budgets, and audit dashboard access, the AISIX Cloud is available on a managed SaaS model.; Requirements: Requires etcd running to store configurations; Self-hosted setup requires Docker Compose for local testing with example configuration files; Tags unique to aisix: ai-agents, llm-gateway, observability, openai-compatible; Also covers AI Agents; aisix ships Docker support for self-hosted deployment; When you need an OpenAI-compatible API that can route requests to multiple LLM providers like OpenAI, Anthropic, Gemini, and Bedrock. ### When should I avoid whichllm? In scenarios where extensive customization of benchmarking criteria beyond what this tool offers is required When you are working in a non-Python environment and prefer not to introduce Python scripts into your workflow ### When should I avoid aisix? If you require a fully managed service with minimal setup and configuration since AISIX requires self-hosting or connecting to AISIX Cloud for management features For projects preferring dynamic languages over statically compiled binaries, given that AISIX is built in Rust and ships as one static binary ### Is whichllm or aisix more popular on GitHub? whichllm has more GitHub stars (6,666 vs 151). Stars measure visibility, not whether either tool fits your constraints. ### Are whichllm and aisix open source? Yes - both are open-source projects on GitHub (whichllm: MIT, aisix: Apache-2.0). ### Where can I find alternatives to whichllm or aisix? GraphCanon lists graph-backed alternatives at [whichllm alternatives](/tools/andyyyy64-whichllm/alternatives) and [aisix alternatives](/tools/api7-aisix/alternatives) ([whichllm markdown twin](/tools/andyyyy64-whichllm/alternatives.md), [aisix markdown twin](/tools/api7-aisix/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 [this comparison](/compare/andyyyy64-whichllm-vs-api7-aisix.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, whichllm or aisix? whichllm: Very active. aisix: Very active. 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 whichllm and aisix? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [whichllm trust report](/tools/andyyyy64-whichllm/trust); [aisix trust report](/tools/api7-aisix/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=andyyyy64-whichllm`](/api/graphcanon/graph?tool=andyyyy64-whichllm) - 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/_