Skip to content
← Models
Open weightsShanghai AI Lab/10 trustVerified
Intern-S1-Pro logo

Intern-S1-Pro

Trillion-parameter open scientific multimodal model for AI-for-science.

Visit official page →

About

Intern-S1-Pro is the Shanghai Artificial Intelligence Laboratory's 1-trillion-parameter scientific multimodal foundation model, open-sourced on February 4, 2026. Built on the lab's SAGE general-specialized fusion architecture, it uses a 512-expert mixture-of-experts design that activates only 8 experts, about 22B parameters, per inference.

The lab positions it as the largest open scientific multimodal model in the community, with headline claims of Olympiad-gold-level math and physics reasoning and top-tier agent capabilities on real research workflows. Architectural additions include Fourier positional encoding and a redesigned temporal encoder aimed at giving the model physical intuition across scales.

Performance and data-sovereignty claims are vendor-reported and should be treated as such; independently reproduced benchmarks are the right check before load-bearing use. As with other China-origin open releases, confirm the exact weight license on the model card before commercial deployment.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

February 4, 2026

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

scientific-reasoningresearch-agentsmultimodal-science

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 104; Trending score 84/100 from researcher assessment.

Sources