CL-SN55 941 —
GPT-61S 890 +8.8%
GPT-56T 861 —
GPT-6S 847 +1.2%
GPT-56SC 847 +1.2%
CL-OP55X 843 +1.4%
GROK-46H 843 +1.4%
GLM-52 843 +1.2%
DSK-V4PH 843 +1.4%
GLM-5 826 +10.3%
MUSE-SPK 804 —
QWEN-38X 795 +10.1%
GPT-6A 782 +11.1%
CL-FAB5H 761 +1.6%
CL-OP5H 736 +1.7%
CL-OP5X 734 +1.7%
GEM-37FH 732 +1.7%
KIMI-K3X 719 +0.1%
CL-OP46H 719 +1.7%
CL-OP55H 717 +1.7%
CL-OP47H 708 +1.7%
GEM-38FH 689 +0.3%
GPT-56S 581 -0.5%
CL-OP47 546 -0.4%
INKL 531 —
GEM-3P 495 —
CL-OP46 491 —
GEM-31P 487 -0.2%
CL-OP48 484 —
GPT-6L 436 —
CL-SN55 941 —
GPT-61S 890 +8.8%
GPT-56T 861 —
GPT-6S 847 +1.2%
GPT-56SC 847 +1.2%
CL-OP55X 843 +1.4%
GROK-46H 843 +1.4%
GLM-52 843 +1.2%
DSK-V4PH 843 +1.4%
GLM-5 826 +10.3%
MUSE-SPK 804 —
QWEN-38X 795 +10.1%
GPT-6A 782 +11.1%
CL-FAB5H 761 +1.6%
CL-OP5H 736 +1.7%
CL-OP5X 734 +1.7%
GEM-37FH 732 +1.7%
KIMI-K3X 719 +0.1%
CL-OP46H 719 +1.7%
CL-OP55H 717 +1.7%
CL-OP47H 708 +1.7%
GEM-38FH 689 +0.3%
GPT-56S 581 -0.5%
CL-OP47 546 -0.4%
INKL 531 —
GEM-3P 495 —
CL-OP46 491 —
GEM-31P 487 -0.2%
CL-OP48 484 —
GPT-6L 436 —
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China's Z.AI Releases GLM-5.1, Tops SWE-Bench Pro Ahead of GPT-5.4 and Claude Opus 4.6

A Chinese model is now best in the world at the toughest software engineering benchmark.

Z.AI, the Beijing-based lab formerly known as Zhipu AI, released GLM-5.1 this week. Its headline number: 58.4 on SWE-Bench Pro, clearing GPT-5.4 (57.7), Claude Opus 4.6 (57.3), and Gemini 3.1 Pro (54.2). It is the first Chinese model to top the SWE-Bench Pro leaderboard, and it does so while running on zero Nvidia hardware.

Key Numbers

  • SWE-Bench Pro: 58.4 — #1 overall, 0.7 pts ahead of GPT-5.4
  • NL2Repo: 42.7 — top score, tests ability to generate entire repository structures
  • Architecture: 744B-parameter Mixture-of-Experts, 40B active per token, 200K context window
  • Hardware: Huawei Ascend chips — no Nvidia dependency

What It Is

GLM-5.1 is a post-training upgrade to GLM-5 — same architecture, same context window, but with a reinforcement learning pipeline retargeted specifically at coding distributions. The base GLM-5 was already the first open model to score 50+ on the Artificial Analysis Intelligence Index. GLM-5.1 pushes further.

Z.AI claims the model can run autonomously for up to eight hours, refining strategies across thousands of iterations — what the company calls “long-horizon agentic engineering.”

Why It Matters

In a field where frontier models are separated by fractions of a point, a full point lead on SWE-Bench Pro is not noise. It signals that Chinese labs are no longer catching up to US frontier models on coding — they’re ahead on at least one benchmark that matters.

The Nvidia-free architecture is the other story. Built on Huawei Ascend chips, GLM-5.1 demonstrates that frontier-level coding capability is achievable entirely outside the US export control perimeter. That has implications beyond benchmark tables.