glm-5Z.AI
- endpoints
- 2
- regions
- 1
- api
- chat
- released
- February 2026
capabilities 3/8
| # | flags | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  Novita AI | Global | 203K | $1.00 | $3.20 | $0.20 | zdr |
| 2 |  Z.ai | Global | 200K | $1.00 | $3.20 | $0.20 | zdr |
no measured traffic for this model yet. the endpoints table above carries provider pricing
| eval | Score as a share of 100 | /100 |
|---|---|---|
| τ²-Bench | 98.2 | |
| GPQA Diamond | 82.0 | |
| Terminal-Bench Hard | 43.2 | |
| Humanity's Last Exam | 29.3 | |
| Intelligence Index | 27.9 | |
| 5 evals | mean | 56.1 |
Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-02-11.
novita/GLM-5this model has no managed policy yet, so call the provider endpoint directly. every id in the endpoints table works the same way
Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="novita/GLM-5", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models
GLM-5 is an open-source foundation model engineered for complex system engineering and long-horizon Agent tasks, delivering reliable productivity for top-tier programmers. Transcending the boundary from "writing code" to "building systems," it moves beyond traditional snippet generation to offer senior-architect-level planning and execution capabilities. By rejecting the "frontend-heavy, logic-light" approach, GLM-5 demonstrates exceptional reasoning and self-healing abilities in backend refactoring, complex algorithm implementation, and deep debugging—autonomously analyzing logs and iteratively fixing persistent bugs until the system runs. As the first open-source model featuring Opus-class style and system engineering depth, GLM-5 provides extreme logic density alongside the freedom of local deployment and high cost-effectiveness, making it the ideal choice for large-scale backend development and automated Agent construction.
questions 5
Which providers serve glm-5?
How much does glm-5 cost?
Is glm-5 open weights?
What is the context window of glm-5?
How do I use glm-5 with the OpenAI SDK?
more from z.ai 6
| model | context | from /M | providers |
|---|---|---|---|
| glm-5.3-flash | 1.0M | $0.07 | 7 |
| glm-5.3 | 1.0M | $1.20 | 6 |
| glm-5.2-fast | 1M | $2.10 | 1 |
| glm-5.2 | 1.0M | $0.80 | 11 |
| glm-5.1 | 205K | $0.84 | 5 |
| glm-4.7 | 200K | $0.60 | 1 |
route glm-5 through one endpoint
One key for 2 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology