GitHub Copilot Provides Gemini 3.1 Professional Help Throughout Main IDEs

GitHub has expanded entry to Google’s Gemini 3.1 Professional mannequin throughout its Copilot AI assistant, bringing the superior reasoning capabilities to builders working in JetBrains IDEs, Xcode, and Eclipse for the primary time.

The mixing, introduced March 23, makes Gemini 3.1 Professional accessible in public preview throughout all Copilot tiers—Enterprise, Enterprise, Professional, and Professional+. Customers can entry the mannequin by means of the chat mannequin picker in agent, ask, and edit modes.

What Gemini 3.1 Professional Brings to Copilot

Launched by Google DeepMind on February 19, 2026, Gemini 3.1 Professional represents a major improve in reasoning functionality. The mannequin scored 77.1% on the ARC-AGI-2 benchmark—double the efficiency of its predecessor, Gemini 3 Professional.

For builders, the sensible advantages embody an enormous 1 million token context window and expanded output capability of 65,536 tokens. That context size means the mannequin can course of complete codebases, prolonged documentation, or advanced multi-file tasks in a single immediate.

The mannequin additionally introduces a three-tier considering system with low, medium, and excessive computational modes. Builders can stability reasoning depth in opposition to response latency relying on the duty—fast syntax questions versus advanced architectural choices.

Enterprise Deployment Necessities

Enterprise and Enterprise directors have to manually allow Gemini 3.1 Professional by means of the Copilot settings coverage web page earlier than their groups can entry it. As soon as activated, the mannequin seems in the usual mannequin picker alongside present choices.

Particular person Professional and Professional+ subscribers ought to see the choice routinely, although GitHub notes some customers could have to examine again if entry hasn’t propagated but.

Broader AI Coding Instrument Competitors

The growth places GitHub in direct competitors with different AI coding assistants which have built-in superior fashions. By providing Gemini 3.1 Professional alongside its present mannequin choices, GitHub offers builders flexibility to decide on primarily based on job necessities quite than locking them right into a single AI supplier.

The multimodal capabilities of Gemini 3.1 Professional—which might course of as much as 900 photographs or one hour of video per immediate—may show helpful for builders working with visible belongings, documentation screenshots, or video tutorials alongside code.

GitHub is directing suggestions to its Group discussions discussion board because the function stays in public preview.

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