cd /news/large-language-models/i-shrank-a-428b-model-from-855gb-to-… · home › topics › large-language-models › article
[ARTICLE · art-40267] src=pub.towardsai.net ↗ pub= topic=large-language-models verified=true sentiment=↑ positive

I Shrank a 428B Model From 855GB to 128GB and It Still Beats GPT-5.5 at Coding

A 428-billion-parameter open-weight model achieved 59.0% on SWE-Bench Pro, outperforming GPT-5.5's 58.6%, after being compressed from 855GB to 128GB. The model's efficiency and performance mark a significant advance in AI model optimization.

read1 min views13 publishedJun 26, 2026

A 428-billion-parameter open-weight model scores 59.0% on SWE-Bench Pro, edging out GPT-5.5’s 58.6% — and the community just finished… Continue reading on Towards AI »

source & further reading
pub.towardsai.net — original article AI Agent Tool Timeout: What a 90-Run Deadline Test Found Botpress Lost 39 Minutes. Its Customers Now Have to Assume Every Key Is Gone. I Built a 40M-Parameter Multilingual Language Model for Delivery Riders in 28 Minutes.
── more in #large-language-models 4 stories · sorted by recency
── more on @gpt-5.5 3 stories trending now
sponsored brought to you by zahid.host 4,200+ EU-deployed projects
reading about agents? ship yours in a single git push.

Run your AI side-project on zahid.host

EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.

$git push zahid main
→ Live at https://your-agent.zahid.host ✓
Get free account → Pricing
from €0/mo · no card required
LIVE [news/i-shrank-a-428b-mode…] indexed:0 read:1min 2026-06-26 · —