Microsoft releases open browser agent post-trained on 64 B200s for six days
Fara1.5-27B uses screenshots instead of the DOM and ships under an MIT license, giving developers control over Microsoft's browser agent.
By Ryan Merket · Published
Primary source: X - @0xSero
Why it matters
Fara1.5 shows that competitive browser automation can come from focused post-training of an existing open model, lowering the compute barrier for developer-controlled agents.
Microsoft made the weights for Fara1.5, a family of browser-use models built on Qwen3.5, publicly available under an MIT license on July 22nd. The release includes models with 4 billion, 9 billion and 27 billion parameters, each trained to operate websites by reading screenshots and producing mouse, keyboard and navigation actions.
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