Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Shanghai AI Lab
InternS1, released by Shanghai AI Laboratory at WAIC 2025 on July 26, 2025, is a multimodal scientific reasoning large language model designed for advanced problem-solving across mathematics, physics, chemistry, and related domains. It supports text, image, and potentially other scientific data formats as input, and demonstrated strong performance on competition-level scientific benchmarks. InternS1 targets open-source scientific research, STEM education, and applications requiring deep domain reasoning across natural science disciplines.
Alibaba / Qwen
Qwen3-VL-235B-A22B, released by Alibaba's Qwen team in September 2025, is a natively multimodal Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters. It features a 256K token context window (with extrapolation to 1M tokens), native support for text, image, and video input, and joint visual-textual reasoning capabilities. Qwen3-VL-235B targets complex visual reasoning, video understanding, and multimodal agentic tasks under the Apache 2.0 license.
1 month newer
InternS1
Shanghai AI Lab
2025-07-26
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
Context window and performance specifications
Average performance across 1 common benchmarks
InternS1
Qwen3-VL-235B-A22B
Available providers and their performance metrics
InternS1
Qwen3-VL-235B-A22B
OpenRouter
InternS1
Qwen3-VL-235B-A22B
InternS1
Qwen3-VL-235B-A22B