+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek VL2 Tiny vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 23.6% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Overall, Qwen3-235B-A22B-Instruct-2507 is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
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.
7 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Performance Metrics
Context window and performance specifications
Average performance across 39 common benchmarks
+
+
+
+
DeepSeek VL2 Tiny
Average Score:22.7%
+
+
+
+
Qwen3-235B-A22B-Instruct-2507
Average Score:46.2%(+23.6%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek VL2 Tiny
0 providers
+
+
+
+
Qwen3-235B-A22B-Instruct-2507
1 providers
Novita
+
+
+
+
DeepSeek VL2 Tiny
Avg Score:22.7%
Providers:0
+
+
+
+
Qwen3-235B-A22B-Instruct-2507
Avg Score:46.2%(+23.6%)
Providers:1