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DeepSeek-V3.2-Exp vs Qwen2 7B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 3.7% higher average benchmark score. DeepSeek-V3.2-Exp is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 year newer
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:37.0%(+3.7%)
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Qwen2 7B Instruct
Average Score:33.3%
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 7B Instruct
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DeepSeek-V3.2-Exp
Avg Score:37.0%(+3.7%)
Providers:2
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Qwen2 7B Instruct
Avg Score:33.3%
Providers:0