--- title: "9router vs FlexLLMGen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/decolua-9router-vs-fminference-flexllmgen" tools: ["decolua-9router", "fminference-flexllmgen"] --- # 9router vs FlexLLMGen *GraphCanon updated Jul 12, 2026* ## Verdict Pick 9router if 9router is a gateway service that connects multiple coding AI agents with free providers, providing token savings through RTK and offering unlimited free access to certain AI models; pick FlexLLMGen if flexLLMGen runs large language models efficiently on a single GPU, ideal for throughput-oriented tasks thanks to its intelligent offloading capabilities. [9router](https://9router.com) reports 22k GitHub stars, 3.7k forks, and 1.1k open issues, last pushed Jul 10, 2026. [FlexLLMGen](https://github.com/FMInference/FlexLLMGen) has 9.4k stars, 589 forks, and 58 open issues, last pushed Oct 28, 2024. Figures are from public GitHub metadata via [9router's repository](https://github.com/decolua/9router) and [FlexLLMGen's repository](https://github.com/FMInference/FlexLLMGen). | | [9router](/tools/decolua-9router.md) | [FlexLLMGen](/tools/fminference-flexllmgen.md) | | --- | --- | --- | | Tagline | Unlimited FREE AI coding with auto-fallback and token savings | Running large language models on a single GPU for throughput-oriented scenarios. | | Stars | 21,698 | 9,361 | | Forks | 3,655 | 589 | | Open issues | 1,111 | 58 | | Language | JavaScript | Python | | Adopt for | 9router is a gateway service that connects multiple coding AI agents with free providers, providing token savings through RTK and offering unlimited free access to certain AI models. | FlexLLMGen runs large language models efficiently on a single GPU, ideal for throughput-oriented tasks thanks to its intelligent offloading capabilities. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [9router](/tools/decolua-9router.md) | [FlexLLMGen](/tools/fminference-flexllmgen.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 1d | 621d | | Archived on GitHub | No | Yes | | Open issues (now) | 1.1k | 58 | | Owner type | User | Organization | | Full report | [trust report](/tools/decolua-9router/trust.md) | [trust report](/tools/fminference-flexllmgen/trust.md) | ## Decision facts: 9router - **Pricing:** unknown - Offers a 'TOKEN SAVER' tier with built-in RTK for FREE, which saves up to 40% on tokens. Also supports connections to completely FREE providers like Kiro AI and OpenCode Free without any sign-up or on - **Adopt for:** 9router is a gateway service that connects multiple coding AI agents with free providers, providing token savings through RTK and offering unlimited free access to certain AI models. ## Decision facts: FlexLLMGen - **Adopt for:** FlexLLMGen runs large language models efficiently on a single GPU, ideal for throughput-oriented tasks thanks to its intelligent offloading capabilities. ## Choose when ### Choose 9router if… - 9router is primarily JavaScript; FlexLLMGen is Python. - License: 9router is MIT, FlexLLMGen is Apache-2.0. - Pricing: Offers a 'TOKEN SAVER' tier with built-in RTK for FREE, which saves up to 40% on tokens. Also supports connections to completely FREE providers like Kiro AI and OpenCode Free without any sign-up or on. - Tags unique to 9router: token-saver, free-ai, openai-proxy, ai-agents. - Also covers AI Agents. - 9router ships Docker support for self-hosted deployment. - Use when you need to connect to various coding AI agents like Claude Code, Codex, Cursor, Cline, Copilot, and others via a unified gateway. ### Choose FlexLLMGen if… - FlexLLMGen is primarily Python; 9router is JavaScript. - License: FlexLLMGen is Apache-2.0, 9router is MIT. - Tags unique to FlexLLMGen: gpt-3, high-throughput, deep-learning, machine-learning. - You need high-throughput inference where tasks can benefit from efficient offloading techniques. ## When NOT to use 9router - Not suitable if you specifically need advanced or high-priority services from premium providers like Claude Code Pro/Max or Codex Plus/Pro, which offer dedicated support and higher limits. - Avoid using this tool if your coding requirements exceed the capabilities of free models connected via 9router's gateway service. ## When NOT to use FlexLLMGen - The scenario requires distributed computing across multiple GPUs, as FlexLLMGen focuses on optimizing usage of a single GPU. - If your applications demand lower latency rather than high throughput, another tool might be more suitable since FlexLLMGen prioritizes throughput over latency. ## Common questions ### What is the difference between 9router and FlexLLMGen? 9router: Unlimited FREE AI coding with auto-fallback and token savings. FlexLLMGen: Running large language models on a single GPU for throughput-oriented scenarios.. See the comparison table for live GitHub stats and shared categories. ### When should I choose 9router over FlexLLMGen? Choose 9router over FlexLLMGen when 9router is primarily JavaScript; FlexLLMGen is Python; License: 9router is MIT, FlexLLMGen is Apache-2.0; Pricing: Offers a 'TOKEN SAVER' tier with built-in RTK for FREE, which saves up to 40% on tokens. Also supports connections to completely FREE providers like Kiro AI and OpenCode Free without any sign-up or on; Tags unique to 9router: token-saver, free-ai, openai-proxy, ai-agents; Also covers AI Agents; 9router ships Docker support for self-hosted deployment; Use when you need to connect to various coding AI agents like Claude Code, Codex, Cursor, Cline, Copilot, and others via a unified gateway. ### When should I choose FlexLLMGen over 9router? Choose FlexLLMGen over 9router when FlexLLMGen is primarily Python; 9router is JavaScript; License: FlexLLMGen is Apache-2.0, 9router is MIT; Tags unique to FlexLLMGen: gpt-3, high-throughput, deep-learning, machine-learning; You need high-throughput inference where tasks can benefit from efficient offloading techniques. ### When should I avoid 9router? Not suitable if you specifically need advanced or high-priority services from premium providers like Claude Code Pro/Max or Codex Plus/Pro, which offer dedicated support and higher limits. Avoid using this tool if your coding requirements exceed the capabilities of free models connected via 9router's gateway service. ### When should I avoid FlexLLMGen? The scenario requires distributed computing across multiple GPUs, as FlexLLMGen focuses on optimizing usage of a single GPU. If your applications demand lower latency rather than high throughput, another tool might be more suitable since FlexLLMGen prioritizes throughput over latency. ### Is 9router or FlexLLMGen more popular on GitHub? 9router has more GitHub stars (21,698 vs 9,361). Stars measure visibility, not whether either tool fits your constraints. ### Are 9router and FlexLLMGen open source? Yes - both are open-source projects on GitHub (9router: MIT, FlexLLMGen: Apache-2.0). ### Where can I find alternatives to 9router or FlexLLMGen? GraphCanon lists graph-backed alternatives at [9router alternatives](/tools/decolua-9router/alternatives) and [FlexLLMGen alternatives](/tools/fminference-flexllmgen/alternatives) ([9router markdown twin](/tools/decolua-9router/alternatives.md), [FlexLLMGen markdown twin](/tools/fminference-flexllmgen/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/decolua-9router-vs-fminference-flexllmgen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, 9router or FlexLLMGen? 9router: Very active. FlexLLMGen: Archived. 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 9router and FlexLLMGen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [9router trust report](/tools/decolua-9router/trust); [FlexLLMGen trust report](/tools/fminference-flexllmgen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=decolua-9router`](/api/graphcanon/graph?tool=decolua-9router) - 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/_