GLM-5Novita AI
- api
- chat
- hosting
- US
- model lab
- Z.AI
- weights
- open
- added
- February 2026
- model id
- novita/GLM-5
capabilities 3/8
2 providers serve glm-5. This page is one of them. Compare all endpoints
- input
- $1.00
- output
- $3.20
- cache write
- -
- cache read
- $0.20
worked cost
| volume | cost |
|---|---|
| 100K in + 10K out | $0.13 |
| 1M in + 100K out | $1.32 |
| 10M in + 1M out | $13.20 |
Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing
no measured traffic for this endpoint yet. pricing above is the provider's own
| 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.
- retention
- none
- trains on prompts
- no
- hosted in
- US
Terms are the provider's, not Requesty's: routing a request here puts it under them. Novita AI Privacy Policy
Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.
novita/GLM-5this id pins the novita ai deployment, with no routing and no failover. the managed id on the canonical page routes across all 2 providers instead
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 to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. 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 6
How much does GLM-5 cost?
What is the context window of GLM-5?
How does GLM-5 perform on benchmarks?
What can GLM-5 do?
How do I use GLM-5 with the OpenAI SDK?
Can I run GLM-5 through Requesty?
more from novita ai 8
| endpoint | ctx | in /M |
|---|---|---|
| deepseek-v4.1-flash | 1.0M | $0.30 |
| glm-5.3-flash | 1.0M | $0.15 |
| inclusionai/ling-3.0-tiny | 262K | free |
| qwen/qwen3.8-max | 1M | $2.00 |
| deepseek-v4-flash-0731 | 1.0M | $0.14 |
| tencent/hy3 | 262K | $0.14 |
| stepfun/step-3.7-flash | 262K | $0.20 |
| inclusionai/ring-2.6-1t | 262K | $0.30 |
call glm-5 through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology