--- title: "ai-gateway vs bifrost" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ferro-labs-ai-gateway-vs-maximhq-bifrost" tools: ["ferro-labs-ai-gateway", "maximhq-bifrost"] --- # ai-gateway vs bifrost *GraphCanon updated Aug 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 bifrost if bifrost is an ultra-fast AI gateway with adaptive load balancing and support for over 1000 models, suitable for enterprises requiring low latency and high model. [ai-gateway](https://docs.ferrolabs.ai) reports 219 GitHub stars, 33 forks, and 63 open issues, last pushed Aug 7, 2026. [bifrost](https://www.getmaxim.ai/bifrost) has 7.4k stars, 1.1k forks, and 910 open issues, last pushed Aug 20, 2026. Figures are from public GitHub metadata via [ai-gateway's repository](https://github.com/ferro-labs/ai-gateway) and [bifrost's repository](https://github.com/maximhq/bifrost). | | [ai-gateway](/tools/ferro-labs-ai-gateway.md) | [bifrost](/tools/maximhq-bifrost.md) | | --- | --- | --- | | Tagline | Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls | Fast Enterprise AI Gateway with Adaptive Load Balancer and Guardrails | | Stars | 219 | 7,449 | | Forks | 33 | 1,073 | | Open issues | 63 | 910 | | Language | Go | 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. | Bifrost is an ultra-fast AI gateway with adaptive load balancing and support for over 1000 models, suitable for enterprises requiring low latency and high model diversity in their API serving needs. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 - a permissive free software license | Apache-2.0 | | 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) | [bifrost](/tools/maximhq-bifrost.md) | | --- | --- | --- | | Days since push | 2d | 0d | | Open issues (now) | 63 | 910 | | Stars delta | Unknown | +812 (30d) | | Open issues delta | Unknown | +268 (30d) | | Full report | [trust report](/tools/ferro-labs-ai-gateway/trust.md) | [trust report](/tools/maximhq-bifrost/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: bifrost - **Adopt for:** Bifrost is an ultra-fast AI gateway with adaptive load balancing and support for over 1000 models, suitable for enterprises requiring low latency and high model diversity in their API serving needs. ## Choose when ### Choose ai-gateway if… - Tags unique to ai-gateway: litellm, llm-proxy, openai-compatible. - Also covers Model Training. - When you need to integrate more than 30 different LLM services including OpenAI and Anthropic ### Choose bifrost if… - Tags unique to bifrost: gateway-services, generative-ai, guardrails, load-balancing. - Use when you require a highly scalable solution that can manage more than 1000 different models with minimal overhead. - More GitHub stars (7.4k vs 219) - visibility, not fit. ## 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 bifrost - Avoid Bifrost if you are working within a restrictive environment where Go is not the preferred language or Apache-2.0 licensing terms cannot be accepted. - Do not use if you prioritize tools that offer more customization options beyond its unified open-source compatible API and default configurations. - Consider alternatives when your requirements surpass existing load handling capabilities or you need features not covered by Bifrost's focus on speed and diversity. ## Common questions ### What is the difference between ai-gateway and bifrost? ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. bifrost: Fast Enterprise AI Gateway with Adaptive Load Balancer and Guardrails. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-gateway over bifrost? Choose ai-gateway over bifrost when Tags unique to ai-gateway: litellm, llm-proxy, openai-compatible; Also covers Model Training; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic. ### When should I choose bifrost over ai-gateway? Choose bifrost over ai-gateway when Tags unique to bifrost: gateway-services, generative-ai, guardrails, load-balancing; Use when you require a highly scalable solution that can manage more than 1000 different models with minimal overhead; More GitHub stars (7.4k vs 219) - visibility, not fit. ### 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 bifrost? Avoid Bifrost if you are working within a restrictive environment where Go is not the preferred language or Apache-2.0 licensing terms cannot be accepted. Do not use if you prioritize tools that offer more customization options beyond its unified open-source compatible API and default configurations. Consider alternatives when your requirements surpass existing load handling capabilities or you need features not covered by Bifrost's focus on speed and diversity. ### Is ai-gateway or bifrost more popular on GitHub? bifrost has more GitHub stars (7,449 vs 219). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-gateway and bifrost open source? Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, bifrost: Apache-2.0). ### Where can I find alternatives to ai-gateway or bifrost? GraphCanon lists graph-backed alternatives at [ai-gateway alternatives](/tools/ferro-labs-ai-gateway/alternatives) and [bifrost alternatives](/tools/maximhq-bifrost/alternatives) ([ai-gateway markdown twin](/tools/ferro-labs-ai-gateway/alternatives.md), [bifrost markdown twin](/tools/maximhq-bifrost/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-maximhq-bifrost.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-gateway or bifrost? ai-gateway: Very active. bifrost: 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 bifrost? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-gateway trust report](/tools/ferro-labs-ai-gateway/trust); [bifrost trust report](/tools/maximhq-bifrost/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/_