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DeepSeek-V3.2-Exp vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 24.9% 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 was introduced as an experimental release, designed to test new architectural innovations and training methodologies. Built to explore the boundaries of mixture-of-experts design, it serves as a research preview for techniques that may be incorporated into future stable releases.
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Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
5 months newer
Llama 4 Scout
Meta
2025-04-05
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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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 3 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:79.7%(+24.9%)
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Llama 4 Scout
Average Score:54.8%
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:79.7%(+24.9%)
Providers:2
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Llama 4 Scout
Avg Score:54.8%
Providers:6