Running OpenAI, Anthropic, or open models elsewhere? Get higher throughput, lower latency, and real cost savings without rewriting your stack.
Migrate from OpenAI, Anthropic, Together AI, Fireworks, or any inference provider and get rewarded with inference credits.
Running LLMs at scale gets expensive fast. FriendliAI delivers higher throughput, lower latency, and real cost savings through optimized kernels, custom quantization, and an inference-first architecture.
Same Capability. Lower Cost.
Teams using OpenAI or Anthropic are already running inference at scale — which means costs add up quickly.
Faster throughput, lower latency.
FriendliAI outperforms OpenAI and vLLM-based systems in both throughput and latency.
Ready for agentic apps.
FriendliAI provides stable, reliable function-calling APIs, ensuring predictable structured outputs, allowing teams to build and run agentic applications seamlessly.
Switch with minimal effort.
Migration is simple and fast. FriendliAI is OpenAI-compatible, so most teams can switch with as little as three lines of code.
Rising per‑token costs
Limited visibility into performance
Vendor lock‑in to proprietary models
Looking for better throughput and latency
Need more control over deployment options
Want a more reliable, production-ready inference stack
FriendliAI is purpose‑built for high‑performance inference,
not adapted from training infrastructure.
What this means for you: