qwen3.8-27b
Alibaba (Qwen)/Open weights/1 provider
Qwen3.8-27B is an open weight dense vision language model from Qwen, built on the Qwen3.5 architecture. It understands images and video, offers flexible thinking control, and is suited for coding, professional work, research, and long horizon agentic tasks. Compact and deployment friendly with a 262K native context.MoreLess
Which id to call
deepinfra/qwen3.8-27bThis model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.
From /1M input
$0.20
DeepInfra Inc.
Context
262K
131K output
Endpoints
1
1 region
Regions
1
chat
Capabilities 5/8
1 endpoint / 1 region
Providers serving qwen3.8-27b
Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.
| Rank | Privacy | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  DeepInfra Inc. | Global | 262K | $0.20 | $2.50 | $0.05 | zdr |
A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.
model=
Which id to call
One base url, https://router.requesty.ai/v1, and one key for every id here.
deepinfra/qwen3.8-27bThis model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.
123456789101112131415from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="deepinfra/qwen3.8-27b", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
Artificial Analysis
Benchmark scores
Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.
Graduate-level physics, chemistry & biology questions designed to resist Googling.
Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.
Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.
6
More from Alibaba (Qwen)
Reference
qwen3.8-27b questions
Which providers serve qwen3.8-27b?
qwen3.8-27b is available from 1 provider through Requesty: DeepInfra Inc.. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does qwen3.8-27b cost?
Pricing starts at $0.20 per million input tokens and $2.50 per million output tokens on DeepInfra Inc., the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
Is qwen3.8-27b open weights?
Yes. qwen3.8-27b is an open-weights model from Alibaba (Qwen), which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.
What is the context window of qwen3.8-27b?
qwen3.8-27b supports up to 262K tokens of context, with up to 131K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.
How do I use qwen3.8-27b with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "deepinfra/qwen3.8-27b" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Route qwen3.8-27b through one endpoint
One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.