Open-source just hit a new high: GLM-5 crushes benchmarks with the lowest hallucinations ever—your next production model?
Imagine deploying an open model that beats Opus 4.5 and rivals GPT-5.2 on agentic tasks without the usual hallucination nightmares. That’s GLM-5 from Z.ai, dropping as the new king of open-weights LLMs.[1]
Z.ai released GLM-5 in BF16 format (~1.5TB), topping Artificial Analysis’s Intelligence Index at score 50 (up from GLM-4.7’s 42). It dominates GDPval-AA ELO at 1412, trails only top closed models, and claims the lowest hallucination rate on AA-Omniscience (-1 score).[1] Influenced by DeepSeek’s MoE innovations like fine-grained sparse experts and GRPO RL, this isn’t hype—it’s a tangible leap in coherence and reliability.[1]
For developers, this closes the gap between open and closed models, perfect for agentic workflows, econ sims, or any app where accuracy trumps scale. Hallucination drops mean fewer guardrails in production, saving you debugging time on RAG pipelines or chatbots.[1]
Compared to DeepSeek’s recipes or prior GLM versions, GLM-5 pushes open MoE frontiers while staying self-hostable (though that 1.5TB needs beefy infra). Closed models like Opus still edge in raw power, but open-source momentum—with DeepSeek-V4 looming—means proprietary lock-in is fading fast.[1]
Grab it from Hugging Face, quantize to FP8/INT4 for lighter hosting, and benchmark against your stack. Will this force a model refresh in your next sprint? Test it today.
Source: Latent Space