Llama 4 Scout vs Qwen3.5-0.8B Comparison
Comparing Llama 4 Scout and Qwen3.5-0.8B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Llama 4 Scout outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen3.5-0.8B is better at 0 benchmarks.
Llama 4 Scout significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Llama 4 Scout has 108.2B more parameters than Qwen3.5-0.8B, making it 13525.0% larger.
Context Window
Maximum input and output token capacity
Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).
Input Capabilities
Supported data types and modalities
Both Llama 4 Scout and Qwen3.5-0.8B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Llama 4 Scout
Qwen3.5-0.8B
License
Usage and distribution terms
Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Qwen3.5-0.8B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 4 Community License Agreement
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama 4 Scout was released on 2025-04-05, while Qwen3.5-0.8B was released on 2026-03-02.
Qwen3.5-0.8B is 11 months newer than Llama 4 Scout.
Apr 5, 2025
11 months ago
Mar 2, 2026
1 weeks ago
11mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Qwen3.5-0.8B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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