Qwen 3.8 2.4T API

Qwen 3.8 2.4T is a large language model by Alibaba Qwen, available on the Venice API as qwen-3-8-2-4t-a95b. It runs privately, with zero data retention.Qwen 3.8 2.4T is Alibaba’s open-weight 2.4-trillion-parameter MoE model (95B active), with major gains in software engineering, research, and long-horizon agentic tasks. It is text-only, requires thinking mode, and supports a 262K-token context window.

Qwen 3.8 2.4T API pricing

Model ID	Variant	Privacy	Price
`qwen-3-8-2-4t-a95b`	Standard	Private	$2.50 input /$ 7.50 output per 1M tokens

Qwen 3.8 2.4T specifications

Spec	Value
Provider	Alibaba Qwen
Released	Aug 12, 2026
Privacy	Private
Open weights	Yes
Context window	256K tokens
Max output	64K tokens
Reasoning effort	Not adjustable

How to use the Qwen 3.8 2.4T API

Send requests to POST https://api.venice.ai/api/v1/chat/completions with "model": "qwen-3-8-2-4t-a95b" and your API key.

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen-3-8-2-4t-a95b",
    "messages": [{ "role": "user", "content": "Explain TEE attestation in two sentences." }]
  }'

Qwen 3.8 2.4T API FAQ

How much does the Qwen 3.8 2.4T API cost?

2.50 per 1M input tokens and

7.50 per 1M output tokens, with cached input at $0.31 per 1M. Prices are in USD and can be paid in DIEM at parity.

What is the Qwen 3.8 2.4T model ID?

Use qwen-3-8-2-4t-a95b as the model parameter.

Is the Qwen 3.8 2.4T API private?

Qwen 3.8 2.4T is private: requests run on infrastructure Venice controls with zero data retention, and prompts and outputs are never stored or used for training.

What is the context window of Qwen 3.8 2.4T?

256K tokens of context, with up to 64K output tokens per response.

What does Qwen 3.8 2.4T support?

Qwen 3.8 2.4T supports function calling, reasoning, web search and prompt caching.

Which endpoint does the Qwen 3.8 2.4T API use?

Call POST /chat/completions. /responses (Alpha) is also supported.

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