Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input (text and image) and multilingual output (text and…
Model details →Meta: Llama 4 Scout vs Qwen: Qwen3.5-122B-A10B
Meta: Llama 4 Scout wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of overall performance…
Model details →Side-by-side comparison
| Capability | Meta: Llama 4 Scout | Qwen: Qwen3.5-122B-A10B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 328K | 262K | 🏆 Meta: Llama 4 Scout |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.08 | $0.26 | 🏆 Meta: Llama 4 Scout |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.30 | $2.08 | 🏆 Meta: Llama 4 Scout |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 Qwen: Qwen3.5-122B-A10B |
Frequently asked questions
Is Meta: Llama 4 Scout better than Qwen: Qwen3.5-122B-A10B?
Meta: Llama 4 Scout wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Meta: Llama 4 Scout and Qwen: Qwen3.5-122B-A10B?
Input: $0.08 vs $0.26 per 1M tokens. Output: $0.30 vs $2.08 per 1M tokens.
What context windows do Meta: Llama 4 Scout and Qwen: Qwen3.5-122B-A10B support?
Meta: Llama 4 Scout supports up to 328K tokens. Qwen: Qwen3.5-122B-A10B supports up to 262K tokens.
Do both Meta: Llama 4 Scout and Qwen: Qwen3.5-122B-A10B support tool calling?
Meta: Llama 4 Scout: yes. Qwen: Qwen3.5-122B-A10B: yes.