Comprehensive side-by-side LLM comparison
InternS1 supports multimodal inputs. 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-Max, released by Alibaba in September 2025 as an API preview, is a large language model exceeding one trillion parameters built for complex reasoning and long-context tasks. It features a 262K token context window, hybrid thinking modes that allow switching between direct generation and extended chain-of-thought, and is available as a proprietary cloud API via Alibaba Cloud and Qwen Chat. Qwen3-Max targets demanding reasoning, multilingual analysis, and applications requiring frontier-level performance from the Qwen3 generation.
1 month newer
InternS1
Shanghai AI Lab
2025-07-26
Qwen3-Max
Alibaba / Qwen
2025-09-05
Context window and performance specifications
Available providers and their performance metrics
InternS1
Qwen3-Max
OpenRouter
InternS1
Qwen3-Max
InternS1
Qwen3-Max