Switch to FriendliAI,
Get Up to $50,000 Inference Credit

Running OpenAI, Anthropic, or open models like Qwen, DeepSeek, or Llama elsewhere? Switch to Friendli Inference for better performance and lower costs—with minimal changes to your stack.

Migrate from OpenAI, Anthropic, Together AI, Fireworks, or any inference provider

Model API costs rise quickly at scale. FriendliAI is an inference platform that helps teams switch to open models with lower latency, higher throughput, and 20–40% lower inference costs—without changing their application.

Up to $10,000 in free GPU inference credits

Sub-second latency, even at scale

Traffic-aware autoscaling

Over 400,000 Hugging Face and custom model support

No setup, no maintenance

Quick onboarding, technical support included

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 for models like Qwen, DeepSeek, and GLM, 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.
FriendliAI vs vLLM
We benchmarked Qwen3 235B on FriendliAI’s platform and compared it against a platform built on vLLM.
These results illustrate that FriendliAI delivers superior throughput and efficiency on large-scale MoE models like Qwen3 235B.
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 for models like Qwen, DeepSeek, and GLM, 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.
FriendliAI vs vLLM
We benchmarked Qwen3 235B on FriendliAI’s platform and compared it against a platform built on vLLM.
These results illustrate that FriendliAI delivers superior throughput and efficiency on large-scale MoE models like Qwen3 235B. In particular, long-output scenarios benefit significantly.
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 for models like Qwen, DeepSeek, and GLM, 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.
FriendliAI vs vLLM
We benchmarked Qwen3 235B on FriendliAI’s platform and compared it against a platform built on vLLM.
These results illustrate that FriendliAI delivers superior throughput and efficiency on large-scale MoE models like Qwen3 235B. In particular, long-output scenarios benefit significantly.
Make The Switch

Built for Inference.
Not Retro‑Fitted.

Currently using OpenAI or Anthropic?

Build with open models like Qwen, DeepSeek, or Llama on FriendliAI, reducing cost while preserving accuracy.

Already using open models on platforms like Together AI or Fireworks?

FriendliAI delivers 99.99% reliability with an inference-first architecture built for production workloads.

What you Get
Credit amount based on your current inference spend
Applies to serverless or dedicated inference
Switch with minimal effort.
Access to 500k top performing models
What You Provide
Your contact information
Company / employer
A recent invoice or bill from your current inference provider
No migration required before approval.

3 Quick Steps

First

Submit the form with your details and current provider bill

Second

We review and approve your credit amount

Third

Start running inference on FriendliAI using your credits

"Friendli Inference has enabled us to scale our operations cost-efficiently, allowing us to process over trillions of tokens each month with exceptional efficiency while cutting our GPUs by 50%. The performance and cost savings consistently exceed our expectations. After exploring open-source options, I cannot overstate the value and peace of mind FriendliAI brings to the table. It has become essential to driving our growth."

FriendliAI Customer
NextDay AI

"EXAONE models run incredibly fast on FriendliAI’s inference platform, and users are highly satisfied with the performance. With FriendliAI’s support, customers have been able to shorten the time required to test and evaluate EXAONE by several weeks. This has enabled them to integrate EXAONE into their services more quickly, accelerating adoption and driving real business impact."

Clayton Park
AI Business Team Lead, LG AI Research

Ready to Switch
and Save?

Get up to $50,000 in inference credits when you move to FriendliAI.

Credits subject to review and approval. Offer available for a limited time.