Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 32.8% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME 2025 (92.3%), WritingBench (88.3%). It supports a 387K 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.
11 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Context window and performance specifications
Average performance across 34 common benchmarks
Phi-3.5-vision-instruct
Qwen3-235B-A22B-Thinking-2507
Available providers and their performance metrics
Phi-3.5-vision-instruct
Qwen3-235B-A22B-Thinking-2507
Novita
Phi-3.5-vision-instruct
Qwen3-235B-A22B-Thinking-2507
Phi-3.5-vision-instruct
Qwen3-235B-A22B-Thinking-2507