Bifrost vs Respan: LLM Gateways Comparison

Bifrost is a high-performance, open-source LLM gateway built by Maxim AI, engineered specifically for teams that prioritize latency, throughput, reliability, and observability in production-grade AI systems. Built in Go, Bifrost delivers extraordinary performance with 50× faster speeds than LiteLLM and just 11 µs overhead at 5,000 requests per second. The gateway unifies access to 15+ providers including OpenAI, Anthropic, AWS Bedrock, Google Vertex, and more through a single OpenAI-compatible API, enabling teams to deploy in seconds with zero configuration.

Bifrost provides enterprise-grade features including automatic failover, load balancing, semantic caching, and advanced observability tools, making it the fastest and most scalable LLM gateway available for high-throughput production systems. The platform launched on Product Hunt on August 6, 2025, receiving positive reception with 43 upvotes and 572 comments, demonstrating strong community interest. Maxim AI, the company behind Bifrost, operates as an end-to-end AI simulation and evaluation platform that empowers modern AI teams to ship agents with quality, reliability, and speed.

Licensed under Apache 2.0 and actively maintained on GitHub, Bifrost represents a community-driven approach to solving critical infrastructure challenges in AI development. The platform offers a 14-day free trial of Bifrost Enterprise on your own stack with no commitment, along with cost tracking and spending limits across teams, projects, and models. While specific pricing details for paid tiers aren't widely published, the open-source nature combined with enterprise options provides flexibility for teams at all scales. Bifrost's combination of exceptional performance, comprehensive features, and active development makes it a compelling choice for teams building production AI applications requiring reliable, high-performance infrastructure.

Respan is a unified AI gateway that provides a single API endpoint to access 250+ LLMs from every major provider including OpenAI, Anthropic, Google, Meta, Mistral, and dozens more. Built for engineering teams that need reliability and flexibility in their AI stack, Respan eliminates vendor lock-in by enabling seamless switching between models without code changes.

The platform provides intelligent model routing with automatic fallback strategies, ensuring AI applications stay online even when individual providers experience outages. Built-in load balancing distributes requests across providers for optimal performance, while real-time cost tracking and usage analytics help teams understand and control their AI spend. Respan's caching layer reduces redundant API calls, cutting costs by up to 70% for repeated queries.

Respan also includes rate limiting, request/response logging, and a unified dashboard for monitoring all LLM interactions across an organization. The platform supports prompt management, A/B testing between models, and semantic caching to accelerate response times. Teams can get started with a free tier and scale to enterprise plans with custom SLAs and dedicated support.