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DeepSeek-V3.2-Exp vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 21.1% higher average benchmark score. DeepSeek-V3.2-Exp offers 90.1K more tokens in context window than Qwen2.5 72B Instruct. Both models have similar pricing. Qwen2.5 72B Instruct is available on 4 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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Alibaba Cloud / Qwen Team
Qwen 2.5 72B was developed as the flagship text model in the Qwen 2.5 series, designed to provide advanced language capabilities with 72 billion parameters. Built to compete with frontier models in reasoning, coding, and general language tasks, it represents Qwen's most capable instruction-following model in this generation.
1 year newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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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Qwen2.5 72B Instruct
Input:$0.35
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:79.7%(+21.1%)
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Qwen2.5 72B Instruct
Average Score:58.5%
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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Qwen2.5 72B Instruct
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DeepSeek-V3.2-Exp
Avg Score:79.7%(+21.1%)
Providers:2
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Qwen2.5 72B Instruct
Avg Score:58.5%
Providers:4