DeepSeek-V3.2 (Thinking) vs Llama 4 Scout Comparison
Comparing DeepSeek-V3.2 (Thinking) and Llama 4 Scout across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.2 (Thinking) outperforms in 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro), while Llama 4 Scout is better at 0 benchmarks.
DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.2 (Thinking) ($0.28/1M tokens) is 3.5x more expensive than Llama 4 Scout ($0.08/1M tokens).
For output processing, DeepSeek-V3.2 (Thinking) ($0.42/1M tokens) is 1.4x more expensive than Llama 4 Scout ($0.30/1M tokens).
In conclusion, DeepSeek-V3.2 (Thinking) is more expensive than Llama 4 Scout.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3.2 (Thinking) has 576.0B more parameters than Llama 4 Scout, making it 528.4% larger.
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to DeepSeek-V3.2 (Thinking)'s 131,072 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while DeepSeek-V3.2 (Thinking) is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Llama 4 Scout supports multimodal inputs, whereas DeepSeek-V3.2 (Thinking) does not.
Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3.2 (Thinking)
Llama 4 Scout
License
Usage and distribution terms
DeepSeek-V3.2 (Thinking) is licensed under MIT, while Llama 4 Scout uses Llama 4 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
DeepSeek-V3.2 (Thinking) was released on 2025-12-01, while Llama 4 Scout was released on 2025-04-05.
DeepSeek-V3.2 (Thinking) is 8 months newer than Llama 4 Scout.
Dec 1, 2025
3 months ago
8mo newerApr 5, 2025
11 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3.2 (Thinking) is available from DeepSeek. Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together. The availability of providers can affect quality of the model and reliability.
DeepSeek-V3.2 (Thinking)
Llama 4 Scout
Outputs Comparison
Key Takeaways
Detailed Comparison
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