FriendliAI is the Frontier Inference Cloud for Agents, delivering high throughput, low latency, and reliability at scale for agentic workloads. Through vertically optimized inference infrastructure, it delivers 2–5× faster output token speed and a 99.99% uptime SLA for high-volume production traffic.

How does FriendliAI reduce inference costs?

FriendliAI reduces inference costs through higher GPU utilization and optimized inference performance. FriendliAI's patented continuous batching technique, along with quantization, speculative decoding, KV cache offloading, multi-LoRA serving, and autoscaling, helps you serve more tokens with fewer GPUs, lowering your infrastructure costs without sacrificing performance.

Why should I choose FriendliAI over other inference providers?

FriendliAI is built for production AI agents, combining speed, reliability, and efficiency at scale. It delivers low-latency streaming, reliable long-context inference, and robust tool calling without compromising stability. According to independent OpenRouter benchmarks, FriendliAI consistently ranks among the top providers for throughput, latency, and reliability across leading open-weight models.

Which open-weight models does FriendliAI support?

Run today's frontier open-weight models—including GLM, MiniMax, Kimi, DeepSeek, Qwen, Gemma, and more—with a simple API call. FriendliAI Model API gives you instant access to the latest models with optimized inference performance for production workloads.

How do I get started?

Getting started takes just a few minutes. [1] Sign up for FriendliAI, [2] Generate your API key, and [3] Make your first inference request with frontier open-weight models.

August 6, 2025
3 min read

WBA: The Community-Driven Platform for Blind Testing the World’s Best AI Models

If you’ve ever wondered which AI model gives the best answer—not just on benchmarks but in real-world, everyday questions—you’re not alone. And now, there’s a platform built just for that.

We’re excited to introduce World Best AI (WBA), a community-driven online platform where you get to judge which AI model performs best through a fun, side-by-side blind taste test.

WBA especially aims to improve user evaluations in underrepresented languages starting from Asia, where current benchmarks and leaderboards often fall short. We’re also putting a spotlight on models from K-AI companies like LG, Upstage, SKT, and Naver so they can be fairly compared on a global stage alongside leading models such as OpenAI’s GPT, Anthropic’s Claude, Google’s Gemini, DeepSeek, Meta’s LLaMA, Alibaba’s Qwen, xAI’s Grok, etc.

Why We Built WBA

Recent years have seen a surge in powerful language models. But which one actually performs best for you?

Most evaluations rely on benchmarks published by model developers themselves—metrics that don’t always reflect real-world usage or user experience. WBA flips the script by empowering everyone, not just AI experts, to compare models hands-on and vote for the best answers.

With deep experience in AI infrastructure and a commitment to openness and accessibility, FriendliAI created WBA as a natural extension of its mission—building a transparent, community-driven platform where users can fairly evaluate and discover the AI models that best meet their needs.

How It Works

WBA is designed to be as simple and accessible as possible:

Ask a question.
See answers from multiple AI models—without knowing which is which.
Vote for the one you prefer.

That’s it.

Behind the scenes, your votes contribute to a live, community-driven leaderboard (coming soon) of the most preferred models. No brand names. No bias. Just honest feedback from real people.

Want more depth? You can also enable reasoning mode, which highlights prompts that require critical thinking, logical steps, or complex problem-solving—helping differentiate models on more than just surface-level fluency.

What’s Next?

We’re launching with full support for Korean, but this is just the beginning. In the coming months, WBA will expand to include English and other major languages, evolving into a truly global platform for AI model comparison and discovery.

Built by FriendliAI—a leading innovator in AI infrastructure—WBA leverages scalable generative AI with lightning-fast inference, extensive multilingual model support, and ultra-efficient GPU optimization. FriendliAI’s solutions, including Serverless Endpoints and Dedicated Endpoints, enable fast and cost-effective deployment of large AI models tailored to diverse needs, supporting over 420,000 open-source models—at a fraction of typical cloud computing costs.

Aligned with FriendliAI’s mission to democratize AI access, WBA offers a transparent, fair, and user-friendly space for anyone to compare Korean and global models through real-world interactions.

Whether you’re an AI researcher, developer, or simply curious about which model is trending, WBA.chat is your go-to destination to explore, test, and decide. And when you’re ready to build and deploy your own AI solutions, simply head to FriendliAI to access powerful, scalable infrastructure designed to bring your projects to life quickly, efficiently, and affordably.

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FriendliAI Tech & Research

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