+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.1 vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 16.9% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than DeepSeek-V3.1. Llama 4 Scout is $0.89 cheaper per million tokens. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
+
+
+
+
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.
2 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Llama 4 Scout
Meta
2025-04-05
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek-V3.1
Input:$0.27
Output:$1.00
+
+
+
+
Llama 4 Scout
Input:$0.08
Output:$0.30($0.89 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
+
+
+
+
DeepSeek-V3.1
Average Score:71.7%(+16.9%)
+
+
+
+
Llama 4 Scout
Average Score:54.8%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.1
2 providers
DeepInfra
Novita
+
+
+
+
Llama 4 Scout
6 providers
+
+
+
+
DeepSeek-V3.1
Avg Score:71.7%(+16.9%)
Providers:2
+
+
+
+
Llama 4 Scout
Avg Score:54.8%
Providers:6