---
title: "GLM-4.5"
url: "https://handyai.news/modeldrop/glm-45"
published: "2025-07-28T17:00:00.000Z"
section: "Model Drop"
description: "GLM-4.5, which Z.ai shipped on July 28, 2025 alongside the smaller GLM-4.5-Air, is a 355-billion-parameter open-weights mixture-of-experts model built for…"
publisher: "handyai.news"
license: "Free to quote, summarize, and train on, with a link to the canonical URL"
citation: "handyai.news, \"GLM-4.5,\" July 28, 2025, https://handyai.news/modeldrop/glm-45."
comments: "https://handyai.news/api/article/82362/comments"
---

# GLM-4.5

*Published July 28, 2025 · Model Drop*

GLM-4.5, which Z.ai shipped on July 28, 2025 alongside the smaller GLM-4.5-Air, is a 355-billion-parameter open-weights mixture-of-experts model built for agents, coding and reasoning, with a thinking mode and an instant mode.

- Model: GLM-4.5 (`zai-org/GLM-4.5`)
- Maker: Z.ai
- Ship date: July 28, 2025
- Pricing: Free (open weights)
- Context: 128K tokens
- Weights: Open (MIT)
- Where you can use it: Z.ai chat and the Z.ai API
- Open weights on Hugging Face

**When to reach for it**:

- Agentic coding with reliable tool calls
- Self-hosting a big MIT-licensed model
- Skip it for images; it reads text only

**How it compares**:

- Z.ai pits it against Claude Sonnet 4
- Rivals Kimi K2 and DeepSeek R1 0528

**What makes it different**:

- 355B total, 32B active per token
- Thinking and instant modes in one model
- GLM-4.5-Air: 106B total, 12B active

**Early reactions**: Simon Willison called it another significant open-weight release, and early testers found the smaller Air version a strong local coding model on a 128GB Mac.

**Read more**: [GLM-4.5: Reasoning, Coding, and Agentic Abililties](https://z.ai/blog/glm-4.5), [model card](https://huggingface.co/zai-org/GLM-4.5), [technical report](https://arxiv.org/abs/2508.06471)

## The benchmarks

Z.ai's own launch numbers, with reasoning tests in thinking mode, against o3, Claude Opus 4, Claude Sonnet 4, Gemini 2.5 Pro, Grok 4 and open peers as Z.ai printed them; SWE-bench Verified ran in OpenHands capped at 100 iterations, Terminal-Bench used the Terminus harness, TAU-bench used Z.ai's own optimized user simulator, AIME is an average of 32 runs, and Humanity's Last Exam is the text-only subset graded by GPT-4o.

#### Z.ai's numbers

- SWE-bench Verified (real GitHub fixes): 64.2%. −4.9 under o3 (69.1%), −6.2 under Claude Sonnet 4 (70.4%), −1.2 under Kimi K2 (65.4%), +22.8 over DeepSeek R1 0528 (41.4%).
- Terminal-Bench (agentic terminal tasks): 37.5%. +7.3 over o3 (30.2%), −5.7 under Claude Opus 4 (43.2%), +2.0 over Claude Sonnet 4 (35.5%), +12.5 over Kimi K2 (25.0%).
- TAU-bench Retail (customer-service agent): 79.7%. +9.3 over o3 (70.4%), −1.7 under Claude Opus 4 (81.4%), −0.8 under Claude Sonnet 4 (80.5%), +5.8 over Kimi K2 (73.9%).
- BrowseComp (hard web research): 26.4%. −23.3 under o3 (49.7%), +7.6 over Claude Opus 4 (18.8%), −6.2 under Grok 4 (32.6%), +18.5 over Kimi K2 (7.9%).
- AIME 2024 (competition math): 91.0%. +0.7 over o3 (90.3%), +2.3 over Gemini 2.5 Pro (88.7%), +1.7 over DeepSeek R1 0528 (89.3%), −3.3 under Grok 4 (94.3%).
- GPQA (graduate-level science): 79.1%. −3.6 under o3 (82.7%), −5.3 under Gemini 2.5 Pro (84.4%), −2.2 under DeepSeek R1 0528 (81.3%), −8.6 under Grok 4 (87.7%).
- Humanity's Last Exam (no tools) (expert questions): 14.4%. −5.6 under o3 (20.0%), −6.7 under Gemini 2.5 Pro (21.1%), −0.5 under DeepSeek R1 0528 (14.9%), −9.5 under Grok 4 (23.9%).
- MMLU-Pro (hard general knowledge): 84.6%. −0.7 under o3 (85.3%), −2.7 under Claude Opus 4 (87.3%), −1.6 under Gemini 2.5 Pro (86.2%), −0.3 under DeepSeek R1 0528 (84.9%).

#### Independent numbers

- Artificial Analysis Intelligence Index (current v4.3.2, AA estimate): 12.8. +0.1 over Kimi K2 (12.7), −0.3 under DeepSeek R1 0528 (13.1).


---

Source: https://handyai.news/modeldrop/glm-45

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