Intern-S1 Pro

Name: Intern-S1 Pro
Author: Shanghai AI Laboratory

Shanghai AI LaboratoryOpen WeightsPending Human Review

Intern-S1 Pro expands Shanghai AI Laboratory’s scientific multimodal family to one trillion total parameters with 22B activated per token. It combines a sparse mixture of 512 experts, Fourier position encoding, and improved time-series modeling to support scientific reasoning alongside general language and vision tasks. The laboratory’s February 5 announcement explicitly dates the open-weight release to February 4, preceding the March technical report. Apache-licensed weights, chat, and an API are available, with a documented 256K context. Its full weight storage requirements remain substantial despite sparse activation.

2026-02-04

1T total, 22B active

Sparse Mixture of Experts with vision and time-series encoders

Apache-2.0

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Specifications

Parameters: 1T total, 22B active
Architecture: Sparse Mixture of Experts with vision and time-series encoders
License: Apache-2.0
Context Window: 262,144 tokens
Type: multimodal
Modalities: textimage

Benchmark Scores

Advanced Specifications

Model Family: Intern-S
API Access: Available
Chat Interface: Available

Capabilities & Limitations

Capabilities: scientific reasoningmultimodal understandingtime-series interpretationtool use
Known Limitations: Trillion-parameter weights need distributed hardwareScientific predictions require external validationTime-series support depends on compatible inference tooling
Notable Use Cases: scientific research assistantsmolecular reasoningsignal analysis
Tool Use Support: Yes

Resources

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Typemultimodal

Parameters16B total, 1B active

2026-09

Open Weights

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