--- title: "ai-gateway vs TurboLLM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ferro-labs-ai-gateway-vs-mohitsoni48-turbollm" tools: ["ferro-labs-ai-gateway", "mohitsoni48-turbollm"] --- # ai-gateway vs TurboLLM *GraphCanon updated Sep 20, 2026* ## Verdict 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; pick TurboLLM if turboLLM offers local LLM execution optimized for GPU performance with a polished web UI and APIs compatible with OpenAI/Anthropic. [ai-gateway](https://docs.ferrolabs.ai) reports 256 GitHub stars, 35 forks, and 68 open issues, last pushed Sep 10, 2026. [TurboLLM](https://turbollm.dev) has 274 stars, 38 forks, and 7 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [ai-gateway's repository](https://github.com/ferro-labs/ai-gateway) and [TurboLLM's repository](https://github.com/mohitsoni48/TurboLLM). | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [TurboLLM](/tools/mohitsoni48-turbollm.md) | | --- | --- | --- | | Tagline | Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls | Run any local LLM engine auto-tuned to your GPU with polished web UI and OpenAI/Anthropic-compatible API | | Stars | 256 | 274 | | Forks | 35 | 38 | | Open issues | 68 | 7 | | Language | Go | TypeScript | | 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. | TurboLLM offers local LLM execution optimized for GPU performance with a polished web UI and APIs compatible with OpenAI/Anthropic. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 - a permissive free software license | - | | Categories | Inference & Serving, Model Training | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [TurboLLM](/tools/mohitsoni48-turbollm.md) | | --- | --- | --- | | Days since push | 2d | 0d | | Open issues (now) | 68 | 7 | | Stars delta | +37 (30d) | +49 (30d) | | Open issues delta | +5 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/ferro-labs-ai-gateway/trust.md) | [trust report](/tools/mohitsoni48-turbollm/trust.md) | ## Shared compatibility - **Node.js**: [ai-gateway](/tools/ferro-labs-ai-gateway.md) - Node.js runtime; [TurboLLM](/tools/mohitsoni48-turbollm.md) - Node.js runtime ## 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 ## Decision facts: TurboLLM - **Adopt for:** TurboLLM offers local LLM execution optimized for GPU performance with a polished web UI and APIs compatible with OpenAI/Anthropic. ## Choose when ### Choose ai-gateway if… - ai-gateway is primarily Go; TurboLLM is TypeScript. - Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy. - When you need to integrate more than 30 different LLM services including OpenAI and Anthropic ### Choose TurboLLM if… - TurboLLM is primarily TypeScript; ai-gateway is Go. - Tags unique to TurboLLM: ai, anthropic-api, claude-code, gpu. - When you want to self-host an LLM service without external dependencies on Electron or Python. ## 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 ## When NOT to use TurboLLM - If your setup does not include a GPU as TurboLLM primarily optimizes performance specifically for that hardware. - When you require heavy model training capabilities on the same platform; TurboLLM focuses more on running and inference tasks with LLMs. ## Common questions ### What is the difference between ai-gateway and TurboLLM? ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. TurboLLM: Run any local LLM engine auto-tuned to your GPU with polished web UI and OpenAI/Anthropic-compatible API. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-gateway over TurboLLM? Choose ai-gateway over TurboLLM when ai-gateway is primarily Go; TurboLLM is TypeScript; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic. ### When should I choose TurboLLM over ai-gateway? Choose TurboLLM over ai-gateway when TurboLLM is primarily TypeScript; ai-gateway is Go; Tags unique to TurboLLM: ai, anthropic-api, claude-code, gpu; When you want to self-host an LLM service without external dependencies on Electron or Python. ### 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 ### When should I avoid TurboLLM? If your setup does not include a GPU as TurboLLM primarily optimizes performance specifically for that hardware. When you require heavy model training capabilities on the same platform; TurboLLM focuses more on running and inference tasks with LLMs. ### Is ai-gateway or TurboLLM more popular on GitHub? TurboLLM has more GitHub stars (274 vs 256). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-gateway and TurboLLM open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to ai-gateway or TurboLLM? GraphCanon lists graph-backed alternatives at [ai-gateway alternatives](/tools/ferro-labs-ai-gateway/alternatives) and [TurboLLM alternatives](/tools/mohitsoni48-turbollm/alternatives) ([ai-gateway markdown twin](/tools/ferro-labs-ai-gateway/alternatives.md), [TurboLLM markdown twin](/tools/mohitsoni48-turbollm/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/ferro-labs-ai-gateway-vs-mohitsoni48-turbollm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-gateway or TurboLLM? ai-gateway: Very active. TurboLLM: 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 ai-gateway and TurboLLM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-gateway trust report](/tools/ferro-labs-ai-gateway/trust); [TurboLLM trust report](/tools/mohitsoni48-turbollm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ferro-labs-ai-gateway`](/api/graphcanon/graph?tool=ferro-labs-ai-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/_