qwen3-8-2-4t-a95b
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 95B active parameters out of 2.4 trillion total.
Pricing: Input 480 credits / 1M tokens (≈ $2.40), Output 1440 credits / 1M tokens (≈ $7.20).
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Qwen3.8 2.4T A95B API on ModelFold
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 95B active parameters out of 2.4 trillion total. Try Qwen3.8 2.4T A95B in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Qwen3.8 2.4T A95B API
Qwen3.8 2.4T A95B at a glance
Qwen3.8 2.4T A95B is a chat model from Qwen. It accepts text as input and returns text, with a context window of up to 1M tokens.
Use it without hosting anything
On ModelFold you call Qwen3.8 2.4T A95B with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Qwen3.8 2.4T A95B
Up to 1M tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Function calling
Qwen3.8 2.4T A95B supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Adjustable reasoning effort
Choose a reasoning effort level (low, medium or high) per request to balance depth of thinking against speed and token usage.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Qwen3.8 2.4T A95B on ModelFold
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Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Qwen3.8 2.4T A95B responds before writing any code.
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Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
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Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "qwen3-8-2-4t-a95b" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
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Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Qwen3.8 2.4T A95B
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
AI coding assistants
Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
Frequently Asked Questions
What is Qwen3.8 2.4T A95B?⌄
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 95B active parameters out of 2.4 trillion total.
Which inputs does Qwen3.8 2.4T A95B support?⌄
Qwen3.8 2.4T A95B accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of Qwen3.8 2.4T A95B?⌄
Up to 1M tokens, shared between your input and the model’s output.
Does Qwen3.8 2.4T A95B support function calling?⌄
Yes. Qwen3.8 2.4T A95B supports tools / function calling through the standard tools parameter of the chat completions API.
How is Qwen3.8 2.4T A95B billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Qwen3.8 2.4T A95B through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "qwen3-8-2-4t-a95b", using your ModelFold API key as the Bearer token.
| Input | 480 credits 1M tokens≈ $2.40 |
| Output | 1440 credits 1M tokens≈ $7.20 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"qwen3-8-2-4t-a95b","messages":[{"role":"user","content":"Hello"}]}'