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DeepSeek-V3.1 vs Qwen2 7B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 3.7% higher average benchmark score. DeepSeek-V3.1 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K 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.
5 months newer
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
DeepSeek-V3.1
DeepSeek
2025-01-10
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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DeepSeek-V3.1
Average Score:34.6%(+3.7%)
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Qwen2 7B Instruct
Average Score:30.9%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
2 providers
DeepInfra
Novita
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Qwen2 7B Instruct
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DeepSeek-V3.1
Avg Score:34.6%(+3.7%)
Providers:2
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Qwen2 7B Instruct
Avg Score:30.9%
Providers:0