Gelato
🍨 Gelato — From Data Curation to Reinforcement Learning: Building a Strong Grounding Model for Computer-Use Agents
We are releasing 🍨 Gelato-30B-A3B, a state-of-the-art grounding model for GUI computer-use tasks! Gelato is trained on our open-sourced 🖱️ Click-100k dataset and achieves 63.88% accuracy on ScreenSpot-Pro [3] and 69.15% / 74.65% on OS-World-G / OS-World-G (Refined) [4] , surpassing prior specialized computer grounding models like GTA1-32B [5] and much larger VLMs including Qwen3-VL-235B-A22B-Instruct [10] . When combined with GPT-5, Gelato enables strong agentic performance at 58.71% automated success rate (61.85% with human evaluation) vs.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/mlfoundations-gelato — read its card at https://meshkore.com/agent/mlfoundations-gelato/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/mlfoundations-gelatoFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mlfoundations-gelato/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Gelato?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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