qwen3.8-2.4T-A95B
DeepInfra/Open weights/1 provider
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is suited for coding, research, complex reasoning, and agentic workflows.MoreLess
Which id to call
qwen3.8-2.4T-A95BRequesty routes this id across every provider serving qwen3.8-2.4T-A95B, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.
From /1M input
$1.80
$2.00 list
DeepInfra Inc.
Context
262K
262K output
Endpoints
1
1 region
Regions
1
chat
Capabilities 4/8
1 endpoint / 1 region
Providers serving qwen3.8-2.4T-A95B
Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.
| Rank | Privacy | ||||||
|---|---|---|---|---|---|---|---|
| 1 | DeepInfra Inc.10% off | Global | 262K | $2.00$1.80 | $6.00$5.40 | $0.18 | 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.
qwen3.8-2.4T-A95BRequesty routes this id across every provider serving qwen3.8-2.4T-A95B, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.
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="qwen3.8-2.4T-A95B", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
1
More from DeepInfra
Reference
qwen3.8-2.4T-A95B questions
Which providers serve qwen3.8-2.4T-A95B?
qwen3.8-2.4T-A95B 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 qwen3.8-2.4T-A95B cost?
Pricing starts at $1.80 per million input tokens and $5.40 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 qwen3.8-2.4T-A95B open weights?
Yes. qwen3.8-2.4T-A95B is an open-weights model from DeepInfra, 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 qwen3.8-2.4T-A95B?
qwen3.8-2.4T-A95B supports up to 262K tokens of context, with up to 262K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.
How do I use qwen3.8-2.4T-A95B 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 "qwen3.8-2.4T-A95B" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Should I call qwen3.8-2.4T-A95B by its managed id or a provider id?
Use the managed id, "qwen3.8-2.4T-A95B". Requesty picks which of the 1 provider serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. Send a provider id like "deepinfra/qwen3.8" only when you need one specific deployment and want no failover.
Route qwen3.8-2.4T-A95B through one endpoint
One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.