# GLM-4.5

> Z.ai's open-weight, agent-native flagship: a 355B/32B-active MoE that unifies reasoning, coding and tool use under an MIT license.

- Maker: Z.ai (Zhipu / GLM)
- Line: GLM (flagship)
- Canonical page: https://ai-tldr.dev/models/glm-4-5/
- Updated: 2026-06-18

## In short

GLM-4.5 is the flagship large language model released by Z.ai (formerly Zhipu AI) on 28 July 2025. It has a 128K-token context window and costs $0.60 per million input tokens and $2.20 per million output tokens. You can use it through Z.ai, OpenRouter and Hugging Face.

## Facts

| Fact | Value | Source |
| --- | --- | --- |
| Context window | 128K (max output 96K) | [1] |
| Input price | $0.60 per 1M tokens | [2] |
| Output price | $2.20 per 1M tokens | [2] |
| Licence | MIT · open weights | [1] |
| Released | 28 July 2025 | [3] |
| Parameters | 355B total / 32B active (MoE) | [1] |

## Sources

1. [GLM-4.5 — official model card (Hugging Face)](https://huggingface.co/zai-org/GLM-4.5)
2. [GLM-4.5 on OpenRouter — pricing & API](https://openrouter.ai/z-ai/glm-4.5)
3. [Z.ai press release — GLM-4.5 launch](https://www.prnewswire.com/news-releases/zai-releases-glm-4-5--setting-new-standards-for-ai-performance-and-accessibility-while-improving-affordability-302514803.html)

## Overview

GLM-4.5 is the flagship large language model released by Z.ai (formerly Zhipu AI) on 28 July 2025. It is a Mixture-of-Experts model with 355 billion total parameters and 32 billion active per forward pass, shipped under a permissive MIT license with open weights — base, hybrid (thinking/non-thinking) and FP8 variants are all available for commercial use and fine-tuning. A smaller GLM-4.5-Air sibling (106B total / 12B active) targets cheaper, lighter deployment.

GLM-4.5 was designed as an agent-native model: a single set of weights unifies reasoning, coding and tool use rather than splitting them across separate models. Z.ai reports a tool-calling success rate of 90.6% and positions the model for software engineering, web browsing and front-end development. A hybrid reasoning mode lets callers switch between a deliberate thinking mode for hard tasks and a fast non-thinking mode for immediate answers.

On Z.ai's own aggregate of 12 representative benchmarks, GLM-4.5 scored an average of 63.2, which the company reported as third overall and the top score among open-source models at launch. It supports a 128K-token context window and up to 96K output tokens, and is served through the Z.ai API as well as third-party hosts such as OpenRouter.

## Benchmarks

- MMLU-Pro: 84.6% ([source](https://huggingface.co/zai-org/GLM-4.5))
- AIME 2024: 91% ([source](https://arxiv.org/abs/2508.06471))
- SWE-bench Verified: 64.2% ([source](https://arxiv.org/abs/2508.06471))
- TAU-bench: 70.1% ([source](https://arxiv.org/abs/2508.06471))
- BrowseComp: 26.4% ([source](https://arxiv.org/abs/2508.06471))
- Tool-calling success rate: 90.6% ([source](https://huggingface.co/zai-org/GLM-4.5))

## Pricing

- Input: $0.60 per 1M tokens
- Output: $2.20 per 1M tokens

Standard Z.ai API list price for GLM-4.5 (the GLM-4.5-Air variant is cheaper at $0.20 input / $1.10 output). Z.ai ran a lower promotional launch rate; third-party hosts may differ.

Source: https://openrouter.ai/z-ai/glm-4.5

## Strengths

- Open weights under a permissive MIT license — free for commercial use, fine-tuning and on-prem deployment
- Agent-native design with a high reported tool-calling success rate (90.6%)
- Strong agentic and coding scores (SWE-bench Verified 64.2, TAU-bench 70.1) for an open model
- Hybrid thinking / non-thinking modes in one model, so you trade off depth vs. latency per request
- Aggressive pricing relative to closed frontier models, plus a lighter GLM-4.5-Air variant

## Best for

- Autonomous and tool-using agents (function calling, web browsing, multi-step workflows)
- Software engineering and front-end development assistance
- Math and competition-style reasoning tasks
- Self-hosted or fine-tuned deployments where open weights and an MIT license are required
- Cost-sensitive production workloads that still need frontier-class reasoning

## How to access

- [Z.ai](https://docs.z.ai/guides/llm/glm-4.5) — model id `glm-4.5`
- [OpenRouter](https://openrouter.ai/z-ai/glm-4.5) — model id `z-ai/glm-4.5`
- [Hugging Face](https://huggingface.co/zai-org/GLM-4.5) — model id `zai-org/GLM-4.5`

## GLM (flagship) versions

- [GLM-5.2](https://ai-tldr.dev/models/glm-5-2/) (13 June 2026)
- [GLM-5.1](https://ai-tldr.dev/models/glm-5-1/) (7 April 2026)
- [GLM-5](https://ai-tldr.dev/models/glm-5/) (11 February 2026)
- [GLM-4.7](https://ai-tldr.dev/models/glm-4-7/) (22 December 2025)
- [GLM-4.6](https://ai-tldr.dev/models/glm-4-6/) (30 September 2025)
- GLM-4.5 (28 July 2025) — this page

## FAQ

### Is GLM-4.5 open source?

Yes. GLM-4.5 is released under the permissive MIT license with open weights — including base, hybrid thinking/non-thinking and FP8 variants — so it can be used commercially, fine-tuned and self-hosted.

### How big is GLM-4.5?

GLM-4.5 is a Mixture-of-Experts model with 355 billion total parameters and 32 billion active per forward pass. A smaller GLM-4.5-Air variant has 106 billion total and 12 billion active parameters.

### What is GLM-4.5 best at?

It is an agent-native model built to unify reasoning, coding and tool use. Z.ai reports a 90.6% tool-calling success rate, plus strong agentic and coding scores such as 64.2 on SWE-bench Verified and 70.1 on TAU-bench.

### How much does the GLM-4.5 API cost?

The standard Z.ai list price for GLM-4.5 is about $0.60 per million input tokens and $2.20 per million output tokens. The lighter GLM-4.5-Air variant is cheaper at roughly $0.20 input / $1.10 output.

## Links

- [GLM-4.5 — official model card (Hugging Face)](https://huggingface.co/zai-org/GLM-4.5)
- [GLM-4.5 — Z.ai developer docs](https://docs.z.ai/guides/llm/glm-4.5)
- [GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models — technical report](https://arxiv.org/abs/2508.06471)
- [GLM-4.5 on OpenRouter — pricing & API](https://openrouter.ai/z-ai/glm-4.5)
- [Z.ai press release — GLM-4.5 launch](https://www.prnewswire.com/news-releases/zai-releases-glm-4-5--setting-new-standards-for-ai-performance-and-accessibility-while-improving-affordability-302514803.html)
- [GLM-4.5 (Reasoning) — Artificial Analysis](https://artificialanalysis.ai/models/glm-4.5)

Source: AI/TLDR LLM registry, https://ai-tldr.dev/models/glm-4-5/