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.
Moonshot AI
Kimi K2, released by Moonshot AI on July 11, 2025, is an open-weight Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters per inference. It features a 256K token context window (expanded from 128K in an September 2025 update) and demonstrated strong performance on agentic coding benchmarks. Kimi K2 targets software engineering agents, tool-use workflows, and open-source deployments under a modified MIT license.
15 days newer
Kimi K2
Moonshot AI
2025-07-11
InternS1
Shanghai AI Lab
2025-07-26
Context window and performance specifications
Available providers and their performance metrics
InternS1
Kimi K2
Moonshot AI
InternS1
Kimi K2
InternS1
Kimi K2