GLM-5

glm-5

GLM-5 is Z.ai’s new-generation foundation model for agentic engineering, complex systems engineering, and long-range agent tasks. Official docs describe it as an open foundation model aimed at production-grade programming, planning, backend reasoning, and iterative self-correction. Its page description should highlight complex engineering workflows rather than only “Chinese LLM” positioning.

Total Context

204.8Ktokens

Max Output

131.1Ktokens

Released

Feb 11, 2026

Modalities

GLM-5 Price

Input PriceOutput PriceCache Read
$0.5714/M$2.5714/M$0.1143/M

GLM-5 API

POST /v1/chat/completions

GLM-5 Benchmark

39.5

/100

Artificial Analysis Intelligence Index

Artificial Analysis broad capability aggregate

Index score

44.2

/100

Artificial Analysis Coding Index

Artificial Analysis software task aggregate

Index score

Knowledge & Reasoning

GPQA

Advanced science problem solving

82%

HLE

Broad expert-level exam set

27.2%

Coding & Engineering

SciCode

Scientific coding challenges

46.2%

Terminal-Bench Hard

Hard terminal task execution

43.2%

Instruction Following & Agent Tasks

IFBench

Prompt constraint adherence

72.3%

AA-LCR

Long-context reasoning

63.3%

τ²-Bench

Agent workflow tasks

98.2%

Metrics sourced from Artificial Analysis

Media and Discussions

Selected public videos and posts related to this model.

X (Twitter)

View post on X
View post on X
View post on X

Reddit

YouTube

Watch on YouTube
Watch on YouTube
Watch on YouTube

GLM-5 FAQ

GLM-5: capabilities, use cases, limits, and TokenHub guidance.

What problem does GLM-5 address?+

GLM-5 is a Z.AI model for complex system engineering and long-range agent tasks.

When should I choose GLM-5?+

Best for complex coding, agent workflows and repository-scale development, especially when software-engineering quality is the priority.

What does GLM-5 do well?+

Key strength: a strong focus on complex system engineering and long-range agents.

What does GLM-5 sacrifice?+

It is text-focused and does not offer the same multimodal breadth as newer models. For long-horizon task completion, consider GLM-5.2.

How do I use GLM-5 in TokenHub?+

Use the exact ID shown by TokenHub; follow your account docs and verify current features.