Bifrost
A high-performance, open-source LLM gateway written in Go, boasting 50x faster speed than LiteLLM and microsecond-level latency at 5000 RPS
Visit Website ↗What is Bifrost
Bifrost is an open-source LLM gateway developed by Maxim AI, built with Go, focusing on one key aspect: speed. According to official claims, it is 50 times faster than LiteLLM, with only an 11-microsecond increase in latency under 5000 RPS continuous pressure testing. For high-traffic, low-latency environments, the lower the gateway overhead, the better. Bifrost makes this its core selling point.
In terms of functionality, it is similar to other gateways: using an OpenAI-compatible API to unify access to multiple vendors (OpenAI, Anthropic, AWS Bedrock, Google Vertex, etc.), with official support for over 1000 models. It integrates routing, governance, protection, and observability into the same control plane, claiming to be deployable in seconds with zero configuration, automatic failover, load balancing, and semantic caching. As an open-source solution, it is suitable for teams that want to control their infrastructure while achieving extreme performance.
Key Features and Use Cases
Bifrost's differentiation is almost entirely focused on performance. If your LLM traffic is high, the gateway's latency overhead can become a significant cost and experience issue. In such cases, a Go-written, microsecond-level overhead gateway has practical significance. Its adaptive load balancing and cluster mode are also designed to support high-concurrency scenarios.
Typical scenarios: developing high-traffic AI products that require a large number of LLM requests per second, unifying multiple vendors, and preventing the gateway from becoming a bottleneck. Bifrost's semantic caching can help block repeated requests to save costs, and failover can automatically switch when a vendor is unstable. It shares the same origin as Maxim AI's evaluation and observation products, making integration smoother if you are already using Maxim's toolchain. Suitable for engineering teams with hard requirements for performance and scale.
Key Features
- High-performance, open-source LLM gateway written in Go
- Claims 50x faster speed than LiteLLM with microsecond-level latency at 5000 RPS
- OpenAI-compatible API unifying access to over 1000 models
- Adaptive load balancing, cluster mode, and semantic caching
- Built-in protection, failover, and observability
Pros
- Extreme performance, suitable for high-traffic, low-latency environments
- Open-source, allowing for self-controlled infrastructure
- Smooth integration with Maxim AI's toolchain
Cons
- Performance advantages are only noticeable in high-traffic scenarios, less significant for small projects
- Self-deployment and tuning require operational capabilities
- Relatively new, with an ecosystem and case studies still accumulating
Use Cases
- Providing low-latency, unified gateway for high-traffic AI products
- Using semantic caching to block repeated requests and save costs
- Ensuring availability with multi-vendor failover
- Combining with Maxim AI for evaluation and observation
Editor's Note
The LLM gateway space is not lacking in options, but Bifrost uses Go to push performance to the extreme, making it a compelling choice for high-traffic scenarios. However, its performance advantages are only noticeable with large enough quantities, making LiteLLM sufficient for small teams. We give it a 4.3 rating.
FAQ
Is Bifrost really that much faster than LiteLLM?
Official claims state it is approximately 50 times faster than LiteLLM with microsecond-level latency at high concurrency; actual differences depend on your traffic scale, with smaller traffic scenarios showing similar performance.
What is the relationship between Bifrost and Maxim AI?
Bifrost is developed and open-sourced by Maxim AI; if you are already using Maxim's evaluation and observation products, integration will be smoother.