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DeepSeek VL2 Tiny vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 23.5% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. Overall, Qwen3 235B A22B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen3 235B A22B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 76.2% across 23 benchmarks. It excels particularly in Arena Hard (95.6%), GSM8k (94.4%), BBH (88.9%). It supports a 256K token context window for handling large documents. The model is available through 4 API providers. 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.
4 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Performance Metrics
Context window and performance specifications
Average performance across 37 common benchmarks
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DeepSeek VL2 Tiny
Average Score:23.9%
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Qwen3 235B A22B
Average Score:47.4%(+23.5%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Qwen3 235B A22B
4 providers
DeepInfra
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DeepSeek VL2 Tiny
Avg Score:23.9%
Providers:0
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Qwen3 235B A22B
Avg Score:47.4%(+23.5%)
Providers:4