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ModelsSaturday 4 July 2026

China just open-sourced a coding model that beats GPT-5.5 — built without a single Nvidia chip

China just open-sourced a coding model that beats GPT-5.5 — built without a single Nvidia chip. Meituan open-sourced LongCat-2.0 under an MIT licence: a 1.6-trillion-parameter model trained entirely on 50,000 domestic Chinese chips with no Nvidia hardware involved. It's purpose-built for agentic coding, already the most-used coding model on OpenRouter and Claude Code by volume, and edges out GPT-5.5 on SWE-bench Pro (59.5 vs 58.6).
What it actually means
We've been tracking Chinese open models' share of the world's token volume climb for weeks; this is that trend turning into a specific tool you can download today, not a statistic. It's MIT-licensed, built for exactly the job most of you are already paying per token for — agentic coding — and it isn't a benchmark stunt: it's already the most-used coding model on two major routers. The chip story matters too: trained with zero Nvidia hardware, it's proof the compute chokehold everyone worried about isn't the hard constraint it looked like a year ago. None of this means rip out your current stack. It means take one real coding task this week, run it against LongCat-2.0 alongside whatever you use now, and judge the output yourself rather than the benchmark.
The gap between the frontier lab's model and the free one you can host keeps closing — and it closed further this week.
50,000domestic Chinese chips used to train LongCat-2.0 — zero from Nvidia
Source: Meituan / LongCat AI · Saturday 4 July 2026