+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.1 vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 28.2% higher average benchmark score. DeepSeek-V3.1 offers 71.7K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $0.52 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 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 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
3 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
DeepSeek-V3.1
DeepSeek
2025-01-10
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek-V3.1
Input:$0.27
Output:$1.00
+
+
+
+
Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40($0.52 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
DeepSeek-V3.1
Average Score:74.9%(+28.2%)
+
+
+
+
Llama 3.2 90B Instruct
Average Score:46.7%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.1
2 providers
DeepInfra
Novita
+
+
+
+
Llama 3.2 90B Instruct
+
+
+
+
DeepSeek-V3.1
Avg Score:74.9%(+28.2%)
Providers:2
+
+
+
+
Llama 3.2 90B Instruct
Avg Score:46.7%
Providers:5