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DeepSeek-V3.2-Exp vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 33.2% higher average benchmark score. Llama 3.2 90B Instruct offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 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 3.2 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.
1 year newer
Llama 3.2 90B Instruct
Meta
2024-09-25
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($0.07 cheaper)
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Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:79.9%(+33.2%)
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Llama 3.2 90B Instruct
Average Score:46.7%
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 3.2 90B Instruct
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DeepSeek-V3.2-Exp
Avg Score:79.9%(+33.2%)
Providers:2
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Llama 3.2 90B Instruct
Avg Score:46.7%
Providers:5