Intern-S2-Preview: Scientific Agentic Foundation Model

Benchmark Model Rank Results
multi-task-language-understanding-on-mmlu-proIntern-S2-Preview-397B#1Accuracy: 89.75
multimodal-reasoning-on-mmmu-proIntern-S2-Preview-397B#1Accuracy: 80.46
mathematical-reasoning-on-hmmt-feb-2026Intern-S2-Preview-397B#3Accuracy: 91.57
code-generation-on-scicodeIntern-S2-Preview-397B#4Accuracy: 49.11
agents-on-skillsbench-v1-1-with-skillsIntern-S2-Preview-397B (OpenClaw 2026.5.7)#5Pass Rate: 50.03
code-generation-on-swe-bench-multilingualIntern-S2-Preview-397B (Mini-SWE-Agent)#6Accuracy: 81.67
code-generation-on-swe-bench-proIntern-S2-Preview-397B#11Resolved: 61.56
code-generation-on-terminal-bench-2-1Intern-S2-Preview-397B (Terminus 2)#28Accuracy: 67.42