GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...
At a glance
- Context window
- 1.3Mtokens
- Max output
- 944Ktokens
- Knowledge to
- —
- Released
- 2026
Capabilities
Benchmarks
- Intelligence index
- 45
- Coding index
- 75
- Agentic index
- 53
Design Arena
| Category | Elo | Win rate |
|---|---|---|
| models · 3d | 1,393 | 67.8 |
| models · gamedev | 1,376 | 64.2 |
| models · uicomponent | 1,343 | 59.5 |
| models · codecategories | 1,330 | 57.6 |
| models · svg | 1,321 | 59 |
| models · website | 1,317 | 55.7 |
| models · dataviz | 1,262 | 51 |
Standard evaluations
| Benchmark | Score | Tasks |
|---|---|---|
| gpqa_diamond | 0.86 | 594 |
| tau_bench_verified_airline | 0.78 | 100 |
Source: Artificial Analysis, Design Arena · as of Sep 16, 2026
Performance
Uptime on IranRouter
41%
Reference uptime
100%
Median latency
1,703 ms
Throughput
58.1 tok/s
IranRouter uptime comes from our own automated probes; the reference figures are daily measurements of this model's upstream routes. Each card shows a 30-day average, and a day without data stays empty.
Popularity
- Current rank
- #10
- Rank change, 7 days
- 0
Daily tokens · 90 days
288.5B
Ranked by daily token volume across the global model market; the figure above the chart is the daily average.
Supported parameters
Parameters this model accepts; anything else is ignored.
Quick start
from openai import OpenAI
client = OpenAI(
api_key="ir-...",
base_url="https://iranrouter.com/v1",
)
resp = client.chat.completions.create(
model="z-ai/glm-5.3",
messages=[{"role": "user", "content": "سلام!"}],
)
print(resp.choices[0].message.content)Only base_url and the key change; the rest of your code stays as it is.