Z.ai
We present GLM-4. 5, an open-source Mixture-of-Experts (MoE) large language model with 355B total parameters and 32B activated parameters, featuring a hybrid reasoning method that supports both thinking and direct response modes.
Running this yourself: likely needs a high-memory cloud gpu.
53.6
Quality Score
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Arena ELO
110B
Parameters
128K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
19 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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116.7K
Downloads
635
Likes
Jul 2025
Released
5/5 signals
3/4 signals
4/5 signals
3/4 signals
4/4 signals
Parameters
106B
Training compute
1.7e24 FLOP
Dataset scale
Not reported
Base model
Not reported
Source-reported access: Open weights (unrestricted) · Confident confidence
Gaps we are still tracking
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
GLM-5.3 - Overview - Z.AI DEVELOPER DOCUMENT
Navigation Models GLM-5.3 Guides API Reference Coding Plan Released Notes Terms and Policy Help Center Get Started Quick Start Overview Pricing Core Parameters SDKs Guide Migrate to GLM-5.3 Models GLM-5.3-Flash New GLM-5.3 Hot GLM-5.2 GLM-OCR GLM-ASR-2512 Capabilities Thinking Mode Deep Thinking Streaming Messages Tool Streaming Output Function Calling Context Caching Structured Output Tools Web Search Stream Tool Call Agents GLM Slide/Poster Agent(beta) Translation Agent Vid
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