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DeepSeek-V3.2-Exp vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 39.2% higher average benchmark score. DeepSeek-V3.2-Exp offers 90.1K more tokens in context window than Qwen2.5 7B Instruct. Both models have similar pricing. 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 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
1 year newer
Qwen2.5 7B 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
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($0.08 cheaper)
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%(+39.2%)
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Qwen2.5 7B Instruct
Average Score:40.5%
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 7B Instruct
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DeepSeek-V3.2-Exp
Avg Score:79.7%(+39.2%)
Providers:2
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Qwen2.5 7B Instruct
Avg Score:40.5%
Providers:1