--- title: "qwen3.6-windows-server vs ai-gateway" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/devnen-qwen3-6-windows-server-vs-ferro-labs-ai-gateway" tools: ["devnen-qwen3-6-windows-server", "ferro-labs-ai-gateway"] --- # qwen3.6-windows-server vs ai-gateway *GraphCanon updated Sep 20, 2026* ## Verdict Pick qwen3.6-windows-server if native Windows tool for Qwen3.6-27B inference without WSL or Docker. Offers speed of 158 tok/s on RTX 5090, 72 tok/s on RTX 3090; pick ai-gateway if ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. [qwen3.6-windows-server](https://github.com/devnen/qwen3.6-windows-server) reports 229 GitHub stars, 23 forks, and 9 open issues, last pushed May 14, 2026. [ai-gateway](https://docs.ferrolabs.ai) has 256 stars, 35 forks, and 68 open issues, last pushed Sep 10, 2026. Figures are from public GitHub metadata via [qwen3.6-windows-server's repository](https://github.com/devnen/qwen3.6-windows-server) and [ai-gateway's repository](https://github.com/ferro-labs/ai-gateway). | | [qwen3.6-windows-server](/tools/devnen-qwen3-6-windows-server.md) | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | | --- | --- | --- | | Tagline | One-click Qwen3.6-27B inference tool for Windows | Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls | | Stars | 229 | 256 | | Forks | 23 | 35 | | Open issues | 9 | 68 | | Language | Python | Go | | Adopt for | Native Windows tool for Qwen3.6-27B inference without WSL or Docker. Offers speed of 158 tok/s on RTX 5090, 72 tok/s on RTX 3090. | ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 - a permissive free software license | | Categories | Inference & Serving | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [qwen3.6-windows-server](/tools/devnen-qwen3-6-windows-server.md) | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 128d | 2d | | Open issues (now) | 9 | 68 | | Stars delta | +2 (30d) | +37 (30d) | | Open issues delta | +1 (30d) | +5 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/devnen-qwen3-6-windows-server/trust.md) | [trust report](/tools/ferro-labs-ai-gateway/trust.md) | ## Shared compatibility - **Python**: [qwen3.6-windows-server](/tools/devnen-qwen3-6-windows-server.md) - Python runtime; [ai-gateway](/tools/ferro-labs-ai-gateway.md) - Python runtime ## Decision facts: qwen3.6-windows-server - **Adopt for:** Native Windows tool for Qwen3.6-27B inference without WSL or Docker. Offers speed of 158 tok/s on RTX 5090, 72 tok/s on RTX 3090. ## Decision facts: ai-gateway - **Adopt for:** ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment. - **License detail:** Apache-2.0 - a permissive free software license ## Choose when ### Choose qwen3.6-windows-server if… - qwen3.6-windows-server is primarily Python; ai-gateway is Go. - Tags unique to qwen3.6-windows-server: llm-inference, local-llm, offline-ai, privacy. - Need to run Qwen3.6-27B natively on Windows with no reliance on WSL or Docker ### Choose ai-gateway if… - ai-gateway is primarily Go; qwen3.6-windows-server is Python. - Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy. - Also covers Model Training. - When you need to integrate more than 30 different LLM services including OpenAI and Anthropic ## When NOT to use qwen3.6-windows-server - Require Linux OS, since this tool avoids using WSL for native performance - If looking for multi-GPU support, as specified speeds are single-GPU focused ## When NOT to use ai-gateway - If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features - For small-scale projects that do not require comprehensive cost analysis tools - When custom integration for specific guardrails is required, as ai-gateway offers generalized settings ## Common questions ### What is the difference between qwen3.6-windows-server and ai-gateway? qwen3.6-windows-server: One-click Qwen3.6-27B inference tool for Windows. ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. See the comparison table for live GitHub stats and shared categories. ### When should I choose qwen3.6-windows-server over ai-gateway? Choose qwen3.6-windows-server over ai-gateway when qwen3.6-windows-server is primarily Python; ai-gateway is Go; Tags unique to qwen3.6-windows-server: llm-inference, local-llm, offline-ai, privacy; Need to run Qwen3.6-27B natively on Windows with no reliance on WSL or Docker. ### When should I choose ai-gateway over qwen3.6-windows-server? Choose ai-gateway over qwen3.6-windows-server when ai-gateway is primarily Go; qwen3.6-windows-server is Python; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; Also covers Model Training; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic. ### When should I avoid qwen3.6-windows-server? Require Linux OS, since this tool avoids using WSL for native performance If looking for multi-GPU support, as specified speeds are single-GPU focused ### When should I avoid ai-gateway? If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features For small-scale projects that do not require comprehensive cost analysis tools When custom integration for specific guardrails is required, as ai-gateway offers generalized settings ### Is qwen3.6-windows-server or ai-gateway more popular on GitHub? ai-gateway has more GitHub stars (256 vs 229). Stars measure visibility, not whether either tool fits your constraints. ### Are qwen3.6-windows-server and ai-gateway open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to qwen3.6-windows-server or ai-gateway? GraphCanon lists graph-backed alternatives at [qwen3.6-windows-server alternatives](/tools/devnen-qwen3-6-windows-server/alternatives) and [ai-gateway alternatives](/tools/ferro-labs-ai-gateway/alternatives) ([qwen3.6-windows-server markdown twin](/tools/devnen-qwen3-6-windows-server/alternatives.md), [ai-gateway markdown twin](/tools/ferro-labs-ai-gateway/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/devnen-qwen3-6-windows-server-vs-ferro-labs-ai-gateway.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, qwen3.6-windows-server or ai-gateway? qwen3.6-windows-server: Slowing. ai-gateway: 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 qwen3.6-windows-server and ai-gateway? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [qwen3.6-windows-server trust report](/tools/devnen-qwen3-6-windows-server/trust); [ai-gateway trust report](/tools/ferro-labs-ai-gateway/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=devnen-qwen3-6-windows-server`](/api/graphcanon/graph?tool=devnen-qwen3-6-windows-server) - 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/_