GLM-5 (Reasoning)
Z AIGLMOpen WeightMIT · Commercial OK
Description
GLM-5 is Zhipu AI's flagship foundation model designed for complex system engineering and long-range Agent tasks, shifting focus from coding to engineering. It features 744B total parameters (40B activated) in a Mixture of Experts architecture, trained on 28.5T tokens. GLM-5 integrates DeepSeek Sparse Attention for higher token efficiency while preserving long-context quality. It supports 200K context length and 128K max output tokens, with capabilities including thinking modes, real-time streaming, function calling, context caching, and structured output. GLM-5 approaches Claude Opus 4.5 in code-logic density and systems-engineering capability.
Release Date
2026-02-11
Parameters
744.0B
Context Length
203K
Modalities
text
Capability Radar
45
general
45
coding
82
reasoning
59
scienceest.
70
agents
0
multimodal
Science uses a reasoning proxy when dedicated science benchmarks are unavailable.
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Agents & Tools | 14 | 71.0 | LS |
| Code Ranking | 34 | 76.0 | AA |
| General Ranking | 19 | 87.0 | AA |
| Science | 34 | 75.0 | AA |
Benchmark Scores (LLM Stats)
Agents
t2-bench
89.7%SR
BrowseComp
75.9%SR
MCP Atlas
67.8%SR
Terminal-Bench 2.0
56.2%SR
Code
SWE-Bench Verified
77.8%SR
AA Evaluation Indices
Intelligence Index49.8
Coding Index44.2
Tau21.0
Gpqa0.8
Ifbench0.7
Lcr0.6
Scicode0.5
Terminalbench Hard0.4
Hle0.3
LLM Stats Category Scores
Frontend Development80
Search80
Tool Calling70
Agents70
Code70
Reasoning70
Pricing
Input Price$1 / 1M tokens
Output Price$3.2 / 1M tokens
Blended Price (3:1)$1.55 / 1M tokens
Speed
Tokens/sec67.1 tokens/s
Time to First Token0.68s
Time to Answer46.97s
Available Providers
(LS internal units)| Provider | Input Price | Output Price |
|---|---|---|
| ZAI | 1.0M | 3.2M |