Bifrost AI Gateway vs OpenLM
Side-by-side comparison of two AI agent tools
Short answer
- OpenLM has had no commit in 41 months; Bifrost AI Gateway is actively maintained (2,089 commits in the last 90 days).
- Bifrost AI Gateway is growing faster: +832 GitHub stars in the last 30 days vs +-0 for OpenLM.
- Pick Bifrost AI Gateway for: fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode. Pick OpenLM for: openAI-compatible Python client that can call any LLM.
From GitHub data refreshed daily.
Bifrost AI Gatewayopen-source
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
OpenLMopen-source
OpenAI-compatible Python client that can call any LLM
Metrics
| Bifrost AI Gateway | OpenLM | |
|---|---|---|
| Stars | 8.5k | 368 |
| Star velocity /mo | 831.9047619047619 | -0.47619047619047616 |
| Commits (90d) | 2.1k | 0 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.887101210781037 | 0.12773224683762688 |
Pros
- +Exceptional performance with sub-100 microsecond overhead and 50x speed improvement over alternatives like LiteLLM
- +Unified API supporting 15+ major AI providers through OpenAI-compatible interface, eliminating vendor lock-in
- +Zero-configuration deployment with built-in web UI for easy setup, monitoring, and real-time analytics
- +Drop-in OpenAI compatibility requires minimal code changes (single import line)
- +Multi-provider support enables batch processing across different models and providers simultaneously
- +Lightweight architecture calls APIs directly without bloated SDK dependencies
Cons
- -Relatively new project with limited community ecosystem compared to established alternatives
- -Enterprise features like clustering and advanced guardrails may require separate licensing or deployment tiers
- -Documentation and production deployment examples appear limited based on current repository state
- -Currently limited to Completion endpoint only, lacking support for newer OpenAI features like Chat completions
- -Relatively small community with 371 GitHub stars compared to official SDKs
- -May lag behind latest provider API updates due to abstraction layer maintenance overhead
Use Cases
- •High-traffic production applications requiring sub-millisecond AI API response times with automatic provider failover
- •Enterprise teams needing unified access to multiple AI providers with governance, monitoring, and cost optimization
- •Development teams building AI applications who want to avoid vendor lock-in while maintaining OpenAI API compatibility
- •Model comparison and evaluation by running identical prompts across multiple LLM providers
- •Implementing fallback strategies when primary models are unavailable or rate-limited
- •Cost optimization by routing requests to the most economical provider for specific use cases
FAQ
- Which is more popular, Bifrost AI Gateway or OpenLM?
- Bifrost AI Gateway has more GitHub stars (8,532 vs 368).
- Which is more actively developed, Bifrost AI Gateway or OpenLM?
- Bifrost AI Gateway had more commits in the last 90 days (2,089 vs 0).
- Should I use Bifrost AI Gateway or OpenLM?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.