Jev + Mercury 2.5 + WebMCP aces browser benchmark at 1/112 the cost of GPT-6 Astra

The latest run on the open-source WindTunnel benchmark (nekuda-ai/WindTunnel) shows Jev paired with the low-cost model Mercury 2.5, operating the browser via the WebMCP protocol, completed 100% of 49 tasks at roughly 1/112 the model cost of GPT-6 Astra using computer use plus code execution, and substantially cheaper than screenshot-based computer use. The WebMCP benchmark team, which ran the test on its own benchmark, said the combo "basically blew up the benchmark."

Confirmed

Why it matters

The result challenges the assumption that browser agents need expensive large models doing computer use: since the hard part is decision-making rather than text generation, pairing a lightweight selection component with a cheap, low-latency LLM can slash cost and latency while maintaining or improving completion rates — a more economical, protocol-based path for agent-website interaction.

2026-09-18 ~ 2026-09-20 · 6 related posts

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