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DeepSeek R1 Distill Qwen 1.5B vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 57.7% higher average benchmark score. Overall, Qwen3-235B-A22B-Instruct-2507 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). 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
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It supports a 147K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:6.7%
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Qwen3-235B-A22B-Instruct-2507
Average Score:64.4%(+57.7%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 1.5B
0 providers
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Qwen3-235B-A22B-Instruct-2507
1 providers
Novita
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:6.7%
Providers:0
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Qwen3-235B-A22B-Instruct-2507
Avg Score:64.4%(+57.7%)
Providers:1