Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 29.6% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Overall, Qwen3-Next-80B-A3B-Thinking 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-Next-80B-A3B-Thinking is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.9% across 23 benchmarks. It excels particularly in MMLU-Redux (92.5%), IFEval (88.9%), AIME 2025 (87.8%). It supports a 131K 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.
1 year newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
Context window and performance specifications
Average performance across 32 common benchmarks
Phi-3.5-vision-instruct
Qwen3-Next-80B-A3B-Thinking
Available providers and their performance metrics
Phi-3.5-vision-instruct
Qwen3-Next-80B-A3B-Thinking
Novita
Phi-3.5-vision-instruct
Qwen3-Next-80B-A3B-Thinking
Phi-3.5-vision-instruct
Qwen3-Next-80B-A3B-Thinking