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qwen3.8-2.4t-a95b

Alibaba (Qwen)/Proprietary/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.More
Compare 2 endpointsAll models →

Which id to call

tensorx/qwen3.8

This 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

$2.50

TensorX Ltd.

Context

1M

262K output

Endpoints

2

1 region

Regions

1

chat

Capabilities 5/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

2 endpoints / 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.

Providers serving qwen3.8-2.4t-a95b, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1TensorX Ltd.EU1M$2.50$6.00$0.63zdr
2TensorX Ltd.EU1M$2.50$6.00$0.63zdr

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.

tensorx/qwen3.8

This 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.

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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="tensorx/qwen3.8",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

6

More from Alibaba (Qwen)

qwen3.8-flash

1.0M ctx/from $0.16/2 providers

qwen3.8-max

1.0M ctx/from $2.00/3 providers

qwen3.7-plus

1.0M ctx/from $0.32/2 providers

qwen3.7-max

1.0M ctx/from $2.50/1 provider

qwen3.6-plus

1M ctx/from $0.50/1 provider

qwen3.5-2b

262K ctx/from $0.02/1 provider

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: TensorX Ltd.. 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 $2.50 per million input tokens and $6.00 per million output tokens on TensorX Ltd., 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?

No. qwen3.8-2.4t-a95b is a proprietary model from Alibaba (Qwen), served through Alibaba (Qwen)'s own API and licensed cloud platforms.

What is the context window of qwen3.8-2.4t-a95b?

qwen3.8-2.4t-a95b supports up to 1M 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 "tensorx/qwen3.8" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

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.

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