Zhipu AI Open-Sources GLM-4.7: The New King of Open-Source Models Claims Global Coding Throne with SOTA Reasoning and Agentic Execution

Category: Tech Deep Dives

Excerpt:

On December 22, 2025, Zhipu AI unleashed GLM-4.7 — its latest flagship open-source model that storms to the top of global open-source leaderboards. Packing revolutionary "Preserved Thinking" for multi-turn consistency, interleaved reasoning modes, and massive leaps in coding + tool use, it hits open-source SOTA on LiveCodeBench (84.9%), τ²-Bench (87.4%), and HLE (42.8%) — outperforming Claude Sonnet 4.5 in key agentic tasks while crushing long-context stability. Fully open-weights on Hugging Face, GLM-4.7 accelerates enterprise deployment, scientific research, and content pipelines at a fraction of proprietary costs.

The open-source AI revolution just detonated its biggest bomb yet — and it's stamped "Made in China." Zhipu AI's GLM-4.7 isn't a timid update; it's a full-frontal assault on the closed-model hegemony, dropping on December 22 with weights already live on Hugging Face under permissive licensing. Built for the agentic era, this MoE beast (355B total params) redefines what open models can do: think persistently across marathon sessions, orchestrate tools without crumbling, and ship production-grade code that actually runs.

The Thinking Architecture That's Breaking Brains

Forget models that forget their own logic mid-conversation — GLM-4.7 introduces a triple-threat reasoning system for unrivaled coherence:

  • • Interleaved Thinking: Explicit step-by-step deliberation before every action/tool call — slashing hallucinations in complex workflows.
  • • Preserved Thinking: Retains reasoning blocks across turns, reusing insights instead of reinventing the wheel — ideal for 100+ turn coding marathons.
  • • Turn-Level Control: Dynamically toggle deep thinking per round — blaze through simple queries or go full PhD for gnarly problems.

Result? A model that stays coherent over 200K context (128K output) without the usual long-text drift that plagues rivals.

Benchmark Bloodbath: GLM-4.7 Dominates

<
Benchmark <GLM-4.7 Score <Key Advantage
LiveCodeBench V6 84.9% Open-source SOTA, edges Claude Sonnet 4.5
τ²-Bench (Tool Use) 87.4% Open SOTA, beats Sonnet 4.5
HLE (w/ Tools) 42.8% +41% vs GLM-4.6, surpasses GPT-5.1
SWE-bench Multilingual 66.7% +12.9% leap from previous version
Terminal Bench 2.0 41.0% +16.5% improvement
Code Arena (Blind Test) #1 Open-source / #1 Domestic Leapfrogs GPT-5.2 in real dev scenarios

Real-World Magic That Ships

Coding & Developer Tools

  • • Agentic coding in Claude Code/Kilo Code/Roo Code
  • • "Think-then-act" mechanism for full-project delivery
  • • Pro-grade front-end outputs (webpages/PPTs/posters)
  • • Local deployment via vLLM/SGLang (MIT license)

Enterprise & Content

  • • Seamless fine-tuning for domain-specific agents
  • • Natural, emotional dialogue for role-play/writing
  • • $3/month pro API (vs. $200 Western tiers)
  • • Skills Module on Z.ai for multi-modal collaboration

Early Adoption Tsunami & The Open-Source Future

Within days of launch, downloads exploded past 60M cumulative for the GLM series. Devs report 3-5x faster iteration on multi-file repos; researchers praise rock-solid long-context evidence tracking. For enterprises, the MIT license and low-cost API mean democratized access to frontier AI capability — no lock-in, no exorbitant fees.

GLM-4.7 isn't just topping charts — it's proving open-source models can lead the agentic future without compromise. When your AI remembers its thoughts, controls its depth, and ships flawless code across languages and tools, the line between "open" and "best" vanishes. Zhipu AI has fired the shot: the era of proprietary lock-in is cracking, and truly sovereign, high-performance intelligence is now free for the world to build on.

GLM-4.7 Core Specs

  • Model Type: MoE (355B total params)
  • Context Window: 200K (128K output)
  • License: MIT (permissive open-source)
  • Launch Date: Dec 22, 2025
  • Cumulative Downloads: 60M+ (GLM series)
  • API Cost: ~$3/month (pro tier)
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