Ampersand Multi-Agent Mode Claims Frontier Coding Scores at Lower Cost
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Co-Coding: frontier coding by working together We trained Ampersand to work better with people - and found that multi-agent Ampersand matches frontier coding models while being faster and cheaper, despite no extra coding training - 92.2% on SWE-bench Pro v2 HARD-51, matching Fable 5.1 (while 70% cheaper) and Gemini 4 Argon and outperforming Astra, Muse Wonder, and Kimi K3 - 77.9% on DeepSWE v1.1, on par with Gemini 4 Argon and ahead of Astra, Grok-4.7, Kimi K3, and Deepseek-v4-pro Try co(llaborative)-coding with Ampersand’s multi-agent mode, available exclusively through our Agent API Have fun building together - for the next week, get a $250 API credit to try it out!
A coding mode is available through an API, with vendor-claimed frontier-level Pro results at lower cost. You can evaluate it against your current coding , treating the numbers as unverified.
- multi-agent — Using several AI agents on one problem — splitting work in parallel, checking each other, or filling different roles like planner and reviewer.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
- SWE-bench — The standard benchmark for AI coding agents: real GitHub issues from real repositories, scored by whether the agent's patch passes the project's own tests.
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