Meta's efficient multimodal MoE model with 16 experts.
Efficient coding agent with 80B parameters, only 3B active per token.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Llama 4 Scout and Qwen3 Coder Next are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.
Llama 4 Scout has a lower blended cost. Llama 4 Scout: $0.10 input / $0.30 output. Qwen3 Coder Next: $0.11 input / $0.80 output.
Llama 4 Scout has a larger context window: Llama 4 Scout supports 328K tokens vs Qwen3 Coder Next at 262K tokens.
Llama 4 Scout supports vision/image input, but Qwen3 Coder Next does not.
Key differences: only Llama 4 Scout supports vision input. Compare full specs on this page.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Llama 4 Scout and Qwen3 Coder Next for free on idapt.app to see which performs better for your specific needs.