GLM-4.5 (Reasoning)
Description
GLM-4.5 is an Agentic, Reasoning, and Coding (ARC) foundation model designed for intelligent agents, featuring 355 billion total parameters with 32 billion active parameters using MoE architecture. Trained on 23T tokens through multi-stage training, it is a hybrid reasoning model that provides two modes: thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses. The model unifies agentic, reasoning, and coding capabilities with 128K context length support. It achieves exceptional performance with a score of 63.2 across 12 industry-standard benchmarks, placing 3rd among all proprietary and open-source models. Released under MIT open-source license allowing commercial use and secondary development.
Capability Radar
Science uses a reasoning proxy when dedicated science benchmarks are unavailable.
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Agents & Tools | 58 | 55.0 | LS |
| Code Ranking | 125 | 54.0 | AA |
| General Ranking | 187 | 52.0 | AA |
| Math Reasoning | 76 | 82.0 | AA |
| Science | 141 | 55.0 | AA |
Benchmark Scores (LLM Stats)
Agents
Biology
Code
Communication
Finance
General
Math
AA Evaluation Indices
LLM Stats Category Scores
Pricing
Speed
Available Providers
(LS internal units)No provider data available