Llama 4 Scout: Meta's New Model Reviewed

Meta's Llama 4 Scout is here — a 17B parameter model with 16 experts (Mixture of Experts architecture). We've been testing it for a week and here's the full picture.

What Makes Scout Different

Llama 4 Scout uses a Mixture of Experts (MoE) architecture. Instead of activating all 17B parameters for every token, it routes each query to the most relevant "expert" subnetwork. The result: near-70B quality at a fraction of the inference cost.

Benchmark Performance

In our tests, Scout outperformed Llama 3.3 8B on every category and closely matched Llama 3.1 70B — while being significantly faster.

• Strong at:
• - Instruction following (best in its class)
• - Multi-step reasoning
• - Creative writing
• - Code generation

• Weaker at:
• - Very long document analysis (context window limitations)
• - Highly specialized math (DeepSeek Math still wins here)

Speed

Scout is fast. Very fast. On Cloudflare's edge network, responses start streaming in under a second. For a model this capable, the speed is remarkable.

Should You Use It?

Yes. Llama 4 Scout is now one of our top recommended models on chatmultipleai. It offers an excellent balance of speed, quality, and capability.

We've marked it as a featured model — you'll see it in the default model selection when you open a new chat.

Try It Now

Llama 4 Scout is available on chatmultipleai right now. Start a new chat and select it alongside DeepSeek R1 or GPT OSS to compare.