Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
At a glance
- Context window
- 1Mtokens
- Max output
- 131Ktokens
- Knowledge to
- —
- Released
- 2026
Capabilities
Benchmarks
- Intelligence index
- 34
- Coding index
- 68
- Agentic index
- 47
Standard evaluations
| Benchmark | Score | Tasks |
|---|---|---|
| gpqa_diamond | 0.82 | 792 |
| tau_bench_verified_airline | 0.77 | 150 |
Source: Artificial Analysis · as of Sep 16, 2026
Performance
Uptime on IranRouter
16.7%
Reference uptime
100%
Median latency
1,476 ms
Throughput
41.6 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
- #49
- Rank change, 7 days
- +1
Daily tokens · 90 days
35.2B
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="qwen/qwen3.8-27b",
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.