Ampersand multi-agent co-coding matches Gemini 4 Argon on SWE-bench Pro v2
Ampersand's multi-agent mode scores 92.2% on SWE-bench Pro v2 HARD-51 and 77.9% on DeepSWE v1.1, matching Gemini 4 Argon while being 70% cheaper.
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!