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Agents-A1

Shanghai AI LaboratoryOpen WeightsPending Human Review

Agents-A1 is Shanghai AI Laboratory’s model for long-horizon search, engineering, and scientific agent workflows. Its training combines long verified trajectories, domain experts, and on-policy distillation to consolidate specialized skills into one language model. It generates reasoning, text, and tool requests; external tools and a harness provide execution. Official cards explicitly date the 2026-06-26 release and document a 262K context. Apache-licensed weights and evaluation code support local deployment, while benchmark performance depends on the evaluation environment and external search infrastructure.

2026-06-26
35B total, 3B active
Mixture-of-Experts Transformer
Apache-2.0

Specifications

Parameters
35B total, 3B active
Architecture
Mixture-of-Experts Transformer
License
Apache-2.0
Context Window
262,144 tokens
Type
text
Modalities
text

Benchmark Scores

Advanced Specifications

Model Family
Agents-A1
API Access
Not Available
Chat Interface
Not Available

Capabilities & Limitations

Capabilities
long-horizon reasoningtool callingresearchcoding
Known Limitations
Requires a tool harness for executionLong trajectories can consume substantial inference timeResults depend on external tools and information quality
Notable Use Cases
scientific agentssearch assistantsengineering workflows
Function Calling Support
Yes
Tool Use Support
Yes

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