Intern-S1
Multimodal modelIntern-S1
Intern-S1 is an AI model published by Shanghai Artificial Intelligence Laboratory, released on 2025-07-27, for Multimodal model, with 241B parameters, and 128K context length, requiring about 481.6 GB storage, with a 86.00 score on AIME2025.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
Intern-S1 currently shows benchmark results led by MMLU Pro (44 / 132, score 83.50), AIME2025 (50 / 107, score 86), GPQA Diamond (92 / 187, score 77.30). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
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Model Overview
Intern-S1 is an AI model published by Shanghai Artificial Intelligence Laboratory, released on 2025-07-27, for Multimodal model, with 241B parameters, and 128K context length, requiring about 481.6 GB storage, with a 86.00 score on AIME2025.
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