Enterprise-grade performance comparison. Built in Go for maximum throughput and minimal latency. See the numbers that matter.
[ PERFORMANCE AT A GLANCE ]
[ LIVE SIMULATION ]
All values from actual benchmark at 500 RPS on AWS t3.medium (2 vCPU, 4GB RAM). Simulated samples reflect measured P50/P99/Max distributions. Full benchmark report
[ DETAILED METRICS ]
Primary performance metrics under sustained load
Percentage of requests completed successfully
Median response time
99th percentile response time
Maximum observed response time
Requests processed per second
Maximum memory consumption
Internal latency overhead (60ms mock OpenAI response)
Median end-to-end latency
Internal processing time (excluding 60ms mock OpenAI call)
Maximum sustainable requests per second
[ HIGH-THROUGHPUT STRESS TEST ]
Bifrost-only stress test at 5000 RPS with ~10KB response payloads. Gateway overhead excludes upstream response time. Full benchmark report
[ WHY BIFROST IS FASTER ]
| Feature | Bifrost | LiteLLM |
|---|---|---|
| Language | Go | Python |
| Async Runtime | Goroutines | asyncio |
| HTTP Server | Fast http | FastAPI/Uvicorn |
| Memory Model | Efficient GC | GC-managed |
| Concurrency | Native goroutines | GIL-limited |
| Binary Size | ~80MB | ~500MB+ (with deps) |
| Open Source | Yes (Apache 2.0) | Yes (MIT) |
Bifrost's Go implementation uses efficient parsing and memory-optimized data structures, minimizing allocations and leveraging Go's highly efficient garbage collector.
Built with Go's goroutines, Bifrost handles thousands of concurrent connections efficiently without the Python GIL bottleneck that limits LiteLLM's parallelism.
With Go's low-latency garbage collector and efficient memory management, Bifrost maintains consistent performance under load while using 68% less memory.
[ BIFROST FEATURES ]
01 Model Catalog
Access 8+ providers and 1000+ AI models from multiple providers through a unified interface. Also support custom deployed models!
02 Budgeting
Set spending limits and track costs across teams, projects, and models.
03 Provider Fallback
Automatic failover between providers ensures 99.99% uptime for your applications.
04 MCP Gateway
Centralize all MCP tool connections, governance, security, and auth. Your AI can safely use MCP tools with centralized policy enforcement. Bye bye chaos!
05 Virtual Key Management
Create different virtual keys for different use-cases with independent budgets and access control.
06 Unified Interface
One consistent API for all providers. Switch models without changing code.
07 Drop-in Replacement
Replace your existing SDK with just one line change. Compatible with OpenAI, Anthropic, LiteLLM, Google Genai, Langchain and more.
08 Built-in Observability
Out-of-the-box OpenTelemetry support for observability. Built-in dashboard for quick glances without any complex setup.
09 Community Support
Active Discord community with responsive support and regular updates.
[ EASY MIGRATION ]
Change just one line of code. Works with OpenAI, Anthropic, Vercel AI SDK, LangChain, and more.
