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DeepSeek-V3.2-Exp vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 20.5% higher average benchmark score. Llama 3.1 405B Instruct offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $1.10 cheaper per million tokens. Llama 3.1 405B Instruct is available on 8 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 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
1 year newer
Llama 3.1 405B Instruct
Meta
2024-07-23
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($1.10 cheaper)
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:82.5%(+20.5%)
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Llama 3.1 405B Instruct
Average Score:62.0%
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 3.1 405B Instruct
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DeepSeek-V3.2-Exp
Avg Score:82.5%(+20.5%)
Providers:2
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Llama 3.1 405B Instruct
Avg Score:62.0%
Providers:8