Kimi K3.1 Pro Surges in Browser Benchmark

K3.1 Pro’s result suggests Moonshot is especially competitive where models must browse, operate tools, and sustain long agentic workflows—not necessarily across every form of reasoning.

• –The 76.8 score is an impressive signal, but benchmark harnesses, task mixes, and provider configurations can materially affect browser-agent rankings.
• –Its 1M-token context and native visual understanding are well suited to multi-step web tasks involving pages, screenshots, and persistent state.
• –API pricing starts at $2 per million input tokens and $10 per million output tokens, making the reported roughly $2-per-task cost attractive for experimentation.
• –Moonshot’s broader evaluations show strong tool-heavy performance, while pure reasoning and some computer-use tests still leave room behind frontier proprietary models.
• –Developers can access K3.1 Pro through Kimi’s API, apps, and coding tools now, with full model weights promised for November 4, 2026.