--- title: "ai-gateway vs llm-inference-solutions" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ferro-labs-ai-gateway-vs-mani-kantap-llm-inference-solutions" tools: ["ferro-labs-ai-gateway", "mani-kantap-llm-inference-solutions"] --- # ai-gateway vs llm-inference-solutions *GraphCanon updated Aug 9, 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 llm-inference-solutions if curated listings of tools for efficient inference and deployment of LLMs with details on hardware support, features, and licenses. [ai-gateway](https://docs.ferrolabs.ai) reports 219 GitHub stars, 33 forks, and 63 open issues, last pushed Aug 7, 2026. [llm-inference-solutions](https://github.com/mani-kantap/llm-inference-solutions) has 95 stars, 7 forks, and 1 open issues, last pushed Mar 1, 2025. Figures are from public GitHub metadata via [ai-gateway's repository](https://github.com/ferro-labs/ai-gateway) and [llm-inference-solutions's repository](https://github.com/mani-kantap/llm-inference-solutions). | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [llm-inference-solutions](/tools/mani-kantap-llm-inference-solutions.md) | | --- | --- | --- | | Tagline | Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls | A collection of all available inference solutions for the LLMs | | Stars | 219 | 95 | | Forks | 33 | 7 | | Open issues | 63 | 1 | | Language | Go | - | | 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. | Curated listings of tools for efficient inference and deployment of LLMs with details on hardware support, features, and licenses. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 - a permissive free software license | MIT | | Categories | Inference & Serving, Model Training | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [llm-inference-solutions](/tools/mani-kantap-llm-inference-solutions.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 2d | 523d | | Open issues (now) | 63 | 1 | | Owner type | Organization | User | | Full report | [trust report](/tools/ferro-labs-ai-gateway/trust.md) | [trust report](/tools/mani-kantap-llm-inference-solutions/trust.md) | ## 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: llm-inference-solutions - **Adopt for:** Curated listings of tools for efficient inference and deployment of LLMs with details on hardware support, features, and licenses. ## Choose when ### Choose ai-gateway if… - License: ai-gateway is Apache-2.0, llm-inference-solutions is MIT. - 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 ### Choose llm-inference-solutions if… - License: llm-inference-solutions is MIT, ai-gateway is Apache-2.0. - Tags unique to llm-inference-solutions: llm-inference, llm-serving, llmops. - Need a comprehensive catalog to compare multiple inference solutions for LLMs like vLLM's memory management or Triton Inference Server's framework diversity ## 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 llm-inference-solutions - Looking for direct technical implementation details instead of a curated list, as it primarily serves as an overview repository - In need of real-time updates since the repository's content may not be continuously updated to reflect new developments in inference solutions ## Common questions ### What is the difference between ai-gateway and llm-inference-solutions? ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. llm-inference-solutions: A collection of all available inference solutions for the LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-gateway over llm-inference-solutions? Choose ai-gateway over llm-inference-solutions when License: ai-gateway is Apache-2.0, llm-inference-solutions is MIT; 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 choose llm-inference-solutions over ai-gateway? Choose llm-inference-solutions over ai-gateway when License: llm-inference-solutions is MIT, ai-gateway is Apache-2.0; Tags unique to llm-inference-solutions: llm-inference, llm-serving, llmops; Need a comprehensive catalog to compare multiple inference solutions for LLMs like vLLM's memory management or Triton Inference Server's framework diversity. ### 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 llm-inference-solutions? Looking for direct technical implementation details instead of a curated list, as it primarily serves as an overview repository In need of real-time updates since the repository's content may not be continuously updated to reflect new developments in inference solutions ### Is ai-gateway or llm-inference-solutions more popular on GitHub? ai-gateway has more GitHub stars (219 vs 95). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-gateway and llm-inference-solutions open source? Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, llm-inference-solutions: MIT). ### Where can I find alternatives to ai-gateway or llm-inference-solutions? GraphCanon lists graph-backed alternatives at [ai-gateway alternatives](/tools/ferro-labs-ai-gateway/alternatives) and [llm-inference-solutions alternatives](/tools/mani-kantap-llm-inference-solutions/alternatives) ([ai-gateway markdown twin](/tools/ferro-labs-ai-gateway/alternatives.md), [llm-inference-solutions markdown twin](/tools/mani-kantap-llm-inference-solutions/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-mani-kantap-llm-inference-solutions.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-gateway or llm-inference-solutions? ai-gateway: Very active. llm-inference-solutions: 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 ai-gateway and llm-inference-solutions? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-gateway trust report](/tools/ferro-labs-ai-gateway/trust); [llm-inference-solutions trust report](/tools/mani-kantap-llm-inference-solutions/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/_