GLM-4.5

GLM-4.5 is designed as a foundational model for agent-oriented applications, using a Mixture-of-Experts architecture with 355B total parameters and 32B active parameters per forward pass, paired alongside the lighter GLM-4.5-Air variant at 106B total and 12B active parameters. Training combines a 15-trillion-token general-domain pretraining phase with targeted fine-tuning on code, reasoning, and agent-specific datasets, followed by reinforcement learning to sharpen reasoning, coding, and agent performance, all feeding into a 128K-token context window.

The model is optimized for tool invocation, web browsing, software engineering, and front-end development, fitting naturally into code-centric agent environments such as Claude Code and Roo Code while still supporting broader agent applications through tool-calling APIs. A hybrid reasoning design lets it switch between a Thinking Mode for complex reasoning and tool use and a Non-Thinking Mode for fast responses, giving developers control over latency versus depth. Open-weight availability under Z.AI makes GLM-4.5 a practical base for teams building agentic systems who want to self-host or fine-tune while still accessing frontier-style reasoning and coding behavior.

Zhipu AIglm-4.5glm

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Quick Info

Provider: Zhipu AI
Model key: glm-4.5
Release date: Jul 28, 2025
Last updated: Jul 28, 2025
Knowledge cutoff: 2025-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost: $0.60
Output token cost: $2.20

Limits

Output tokens: 98,304 tokens
Context window: 131,072 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about GLM-4.5

Zhipu AI

CoverageBenchmark

The llm.ing dashboard provides a current snapshot of GLM-4.5 benchmarks and operational stats as of late September 2026. It lists an Artificial Analysis Intelligence Index of 12.8, a Design Arena 3d preference score of 1194 (with per-category breakdowns dated September 23–26, 2026), and an LMArena Text preference score of 1430 recorded September 13, 2026. These figures indicate GLM-4.5 remains actively benchmarked and ranked across multiple evaluation arenas. The same llm.ing page lists live hosting endpoints for GLM-4.5 via OpenRouter, including a Z.AI fp8 deployment offering a 131K context window at $0.6 per million input tokens and $2.2 per million output tokens, with 99.99% 24-hour uptime reported. Although this is aggregator/mirrored data rather than a first-party Zhipu announcement, it offers a developer-facing reference for current GLM-4.5 availability, pricing, and arena standing.

Zhipu AI

Coverage

According to Pandaily's July 28, 2025 launch report, Zhipu AI (now rebranded as Z.ai) open-sourced GLM-4.5, a 355-billion-parameter flagship foundation model positioned as a native "agent" model for autonomous tasks. The article explicitly describes GLM-4.5 as the first SOTA-level native agent model in China, fusing reasoning, code generation, and interactive decision-making in a single system. It also notes Zhipu's rebrand to Z.ai alongside the launch. The Pandaily piece details the technical profile of GLM-4.5: a Mixture-of-Experts architecture with 355B total parameters and roughly 32B active per query, plus a lighter GLM-4.5-Air variant (106B total / 12B active). Training used 15 trillion tokens of general pre-training followed by 8 trillion tokens of code, reasoning, and agent fine-tuning, with a 128,000-token context window. While the source is a third-party press recap rather than an official Zhipu announcement, it remains the most substantive GLM-4.5-specific evidence in the candidate set.