GLM-5
GLM-5 is an AI model published by 智谱AI, released on 2026-02-11, for Chat model, with 744B parameters, and 200K context length, requiring about 1.51TB storage, under the MIT License license, with a 98.00 score on τ²-Bench - Telecom.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $1.00/ 1M | $3.20/ 1M |
| Type | TTL | Write | Read |
|---|---|---|---|
| Text | 5m | $0.200/ 1M | - |
Benchmark Results
GLM-5 currently shows benchmark results led by τ²-Bench (4 / 40, score 89.70), HLE (19 / 159, score 50.40), τ²-Bench - Telecom (5 / 35, score 98). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
General Knowledge
6 evaluationsCoding and Software Engineer
1 evaluationsAgent Level Benchmark
3 evaluationsMath and Reasoning
3 evaluationsAI Agent - Information Search
2 evaluationsClaw-style Agent Evaluation
2 evaluationsCompare with other models
Publisher
Model Overview
GLM-5 is an AI model published by 智谱AI, released on 2026-02-11, for Chat model, with 744B parameters, and 200K context length, requiring about 1.51TB storage, under the MIT License license, with a 98.00 score on τ²-Bench - Telecom.
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