qwen3-5-122b-a10b
Qwen3.5 122B-A10B is a native vision-language model that uses the Qwen3.5 hybrid architecture of linear attention and sparse Mixture-of-Experts, with 10B active parameters for efficient inference.
Pricing: Input 52 credits / 1M tokens (≈ $0.26), Output 416 credits / 1M tokens (≈ $2.08).
Prices updated
How can I help you today?
This demo page does not include the full memory features of the client. For the complete experience, please use the client or the CLI.
More AI models from Qwen
Latest and popular AI models
Qwen3.5-122B-A10B API on ModelFold
Qwen3.5 122B-A10B is a native vision-language model that uses the Qwen3.5 hybrid architecture of linear attention and sparse Mixture-of-Experts, with 10B active parameters for efficient inference. Try Qwen3.5-122B-A10B in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Qwen3.5-122B-A10B API
Qwen3.5-122B-A10B at a glance
Qwen3.5-122B-A10B is a chat model from Qwen. It accepts text, images and video as input and returns text, with a context window of up to 262K tokens.
Use it without hosting anything
On ModelFold you call Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B
Up to 262K 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.
Understands images and video
Besides text, Qwen3.5-122B-A10B accepts images and video as input, so a single request can combine instructions with visual or other media.
Function calling
Qwen3.5-122B-A10B 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.
Reasoning mode
Qwen3.5-122B-A10B can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Qwen3.5-122B-A10B on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Qwen3.5-122B-A10B responds before writing any code.
- 2
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.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "qwen3-5-122b-a10b" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
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 Qwen3.5-122B-A10B
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
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.
Frequently Asked Questions
What is Qwen3.5-122B-A10B?⌄
Qwen3.5 122B-A10B is a native vision-language model that uses the Qwen3.5 hybrid architecture of linear attention and sparse Mixture-of-Experts, with 10B active parameters for efficient inference.
Which inputs does Qwen3.5-122B-A10B support?⌄
Qwen3.5-122B-A10B accepts text, images and video and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.
How long is the context window of Qwen3.5-122B-A10B?⌄
Up to 262K tokens, shared between your input and the model’s output.
Does Qwen3.5-122B-A10B support function calling?⌄
Yes. Qwen3.5-122B-A10B supports tools / function calling through the standard tools parameter of the chat completions API.
How is Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "qwen3-5-122b-a10b", using your ModelFold API key as the Bearer token.
| Input | 52 credits 1M tokens≈ $0.26 |
| Output | 416 credits 1M tokens≈ $2.08 |
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":"qwen3-5-122b-a10b","messages":[{"role":"user","content":"Hello"}]}'