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DeepSeek-V3.2-Exp vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 5.1% higher average benchmark score. Llama 4 Scout offers 19.8M more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
5 months newer
Llama 4 Scout
Meta
2025-04-05
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41
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Llama 4 Scout
Input:$0.08
Output:$0.30($0.30 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:40.2%(+5.1%)
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Llama 4 Scout
Average Score:35.1%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Llama 4 Scout
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DeepSeek-V3.2-Exp
Avg Score:40.2%(+5.1%)
Providers:2
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Llama 4 Scout
Avg Score:35.1%
Providers:6