Cognition's SWE-2 matches Fable 5.1 on code at 64% lower cost

It's built on Moonshot's open Kimi K3 and RL-tuned for cheap runs — but it lives only inside Devin, with no weights and no standalone API.

Nowline SEP 14 5:00 AM banner

Top AI stories from the last hour

Top AI stories from the last hour

Copy markdown

  • The pitch: near-frontier code, 64% cheaper

    SWE-2 scores 50.0% on FrontierCode 1.1, a hair behind Fable 5.1's 50.9%, while Cognition claims 64% lower cost. If you live in Devin, that's frontier-grade agentic coding without the frontier bill.

  • Built on open Kimi K3, RL-tuned for cost

    It's a post-train of Moonshot's 2.8T-parameter Kimi K3 with RL that penalizes wasted steps. Three effort levels ship together; medium alone cuts turns 58% and cost 81% versus SWE-1.7, so you dial the speed/cost tradeoff per task.

  • The catch: Devin-only, no weights, no API

    SWE-2 runs only inside Devin Desktop and CLI — no open weights, no standalone API to drop into your own stack. It's free through Oct 10 for paid Devin tiers, then metered.

  • Strong on real repos, weak on hard terminals

    Beyond FrontierCode: 73.0% on DeepSWE 1.1 and 92.8% on Terminal-Bench 2.1, but just 27.3% on the tougher Terminal-Bench 4 — expect it to shine on everyday PRs and stumble on gnarly shell work.

  • Elsewhere: Cohere's open translator beats DeepL

    Cohere Labs shipped North Small Translate 1.0, a 218B MoE scoring 83.6 on WMT26 across 50 languages and topping DeepL and Google Translate. Weights are on Hugging Face (noncommercial) plus an API — a self-hostable translation layer for your app.