GLM-5.3 (max) Tops Artificial Analysis Intelligence Index

GLM-5.3 Artificial Analysis Benchmarks

GLM-5.3 (max) Tops Artificial Analysis Intelligence Index

Artificial Analysis has benchmarked GLM-5.3 (max), the latest model from Zhipu AI, using its Intelligence Index v4.1.1, which combines nine evaluations including GDPval-AA v2, Terminal-Bench v2.1, and Humanity's Last Exam. The model leads the index, with a strong balance of intelligence, cost-efficiency, and a large context window. The analysis also breaks down performance by task type, token usage, and pricing, offering a detailed look at how GLM-5.3 (max) compares to other open and proprietary models.

The Artificial Analysis Intelligence Index v4.1.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR.
  1. scotttrinh

    I like to compare models with a similar score on cost per task and output tokens per task since those measure two things I'm interested in: cost efficiency and token efficiency. Here's how GLM-5.3 compares to other models in a similar score and against GLM-5.2 to save a few clicks for others who care about these metrics:

    Model Score Cost / Task Output Tokens / Task

    -------------------------------------------------------------------------

    GLM-5.3 (max) 59.5 $0.68 41,107

    GLM-5.2 (max) 53.0 $0.56 32,200

    Claude Opus 5 (high) 61.5 $1.52 21,353

    GPT-5.6 Sol (max) 60.9 $1.23 16,879

    Grok 4.6 (high) 60.9 $0.84 21,735

    Kimi K3 (max) 59.7 $0.84 25,474

    GPT-5.6 Sol (xhigh) 59.0 $0.87 11,098

    Claude Opus 5 (medium) 58.6 $0.98 12,459

    Qwen3.8 Max 58.1 $1.13 38,287

    Qwen3.8 2.4T A95B 57.7 $0.95 32,472

    Claude Opus 4.8 (max) 57.3 $1.65 33,557

    GPT-5.6 Sol (high) 57.3 $0.52 7,545

    Muse Spark 1.2 (xhigh) 56.8 $0.40 30,430

    GPT […]

  2. glub

    I've tested GLM 5.3 on the release day and Artificial Analysis is spot on. It's a really good model.

    But my main takeaway was something else. I've used closed weight models for long enough that I've forgotten how good it feels to see reasoning tokens.

    With GPT/Claude, you kind of hope that intent was captured well, that agent had all the information, all the tools it needed, because you won't see "hmmm it seems like nix flake isn't available here and I shouldn't install something globally" until it slopped out millions of tokens and wasted hundreds of dollars for 8 hours. With GLM and the likes, you just stop the disease right where it begins.

  3. yipinwong

    Still yet, I cannot justify switching from dirt-cheap Luna model, which is pretty damn "intelligent" and works well for my flow

  4. Escapade5160

    Sol is an underappreciated model. Dropped Claude today and went to codex. None of that god awful prose Claude used for me any longer.

  5. BinRoo

    Beware of the benchmarks listed. SciCode and EnterpriseOps for instance: https://shukla.io/blog/2026-08/gym.html

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2026-08-18