Fortytwo Engine more than doubled Qwen3.8-27B’s score on @scaling01's LisanBench Standalone BF16: 2,452 Fortytwo Engine swarm: 5,197 (+112%) LisanBench tests strategic planning, memory and constraint following: build the longest word chain possible using single-letter edits, dictionary words and no repeats. Both runs: 50 starting words × 3 trials, temperature 1.0, 100k-token cap, xhigh reasoning, leaderboard scoring. What improved: • Repetition loops observed in the standalone run; none observed on Engine • Higher mean scores on 40/50 starting words • Mean link validity: 92.2% → 97.1% • Fully valid chains: 5.6% → 22.9% of recorded answers • Answers after retries: 72/150 → 140/150 Against the October 16 leaderboard, these scores would place 28th → 14th, putting Qwen3.8-27B on Fortytwo Engine between GPT 5.4 (medium) and DeepSeek V3.2 Speciale. These are our runs, not official leaderboard entries.

What do you get from Fortytwo Engine? @inikitin breaks it down

Qwen3.8-27B by @Alibaba_Qwen is now live on Fortytwo Engine. Same model, with better answers: • 24.7% fewer tokens per run • DeepSWE: +13% accuracy • GDP.pdf: +11.4% accuracy • Same per-token price and speed Test it on your own tasks: engine.fortytwo.network

Introducing Fortytwo Engine An inference API that runs open-weight models through Swarm Inference • 7% higher scores on average vs. the base model • Nearly 25% fewer tokens per task • Same per-token price and speed • Private by default First model: Qwen3.8-27B Try it: engine.fortytwo.network