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DeepSeek-V3 vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 7.5% higher average benchmark score. DeepSeek-V3 offers 6.1K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $0.62 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 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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
DeepSeek
2024-12-25
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10
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Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40($0.62 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3
Average Score:73.8%(+7.5%)
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Llama 3.2 90B Instruct
Average Score:66.3%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Llama 3.2 90B Instruct
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DeepSeek-V3
Avg Score:73.8%(+7.5%)
Providers:1
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Llama 3.2 90B Instruct
Avg Score:66.3%
Providers:5