qwen3-5-plus-02-15
Qwen3.5 Plus (2026-02-15) is a native vision-language model in the Qwen3.5 Plus line, built on a hybrid architecture that combines linear attention with sparse mixture-of-experts for higher inference efficiency.
Precio: Entrada: 62.4 créditos / 1 M de tokens (≈ $0.31); salida: 374.4 créditos / 1 M de tokens (≈ $1.87).
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Qwen3.5 Plus 2026-02-15 API on ModelFold
Qwen3.5 Plus (2026-02-15) is a native vision-language model in the Qwen3.5 Plus line, built on a hybrid architecture that combines linear attention with sparse mixture-of-experts for higher inference efficiency. Try Qwen3.5 Plus 2026-02-15 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Qwen3.5 Plus 2026-02-15 API
Qwen3.5 Plus 2026-02-15 at a glance
Qwen3.5 Plus 2026-02-15 is a chat model from Qwen. It accepts text, images and video as input and returns text, with a context window of up to 1M tokens.
Use it without hosting anything
On ModelFold you call Qwen3.5 Plus 2026-02-15 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 Plus 2026-02-15
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.
Understands images and video
Besides text, Qwen3.5 Plus 2026-02-15 accepts images and video as input, so a single request can combine instructions with visual or other media.
Function calling
Qwen3.5 Plus 2026-02-15 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 Plus 2026-02-15 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 Plus 2026-02-15 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 Plus 2026-02-15 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.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "qwen3-5-plus-02-15" 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 Qwen3.5 Plus 2026-02-15
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.
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
Frequently Asked Questions
What is Qwen3.5 Plus 2026-02-15?⌄
Qwen3.5 Plus (2026-02-15) is a native vision-language model in the Qwen3.5 Plus line, built on a hybrid architecture that combines linear attention with sparse mixture-of-experts for higher inference efficiency.
Which inputs does Qwen3.5 Plus 2026-02-15 support?⌄
Qwen3.5 Plus 2026-02-15 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 Plus 2026-02-15?⌄
Up to 1M tokens, shared between your input and the model’s output.
Does Qwen3.5 Plus 2026-02-15 support function calling?⌄
Yes. Qwen3.5 Plus 2026-02-15 supports tools / function calling through the standard tools parameter of the chat completions API.
How is Qwen3.5 Plus 2026-02-15 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 Plus 2026-02-15 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "qwen3-5-plus-02-15", using your ModelFold API key as the Bearer token.
| Entrada | 62.4 créditos 1M tokens≈ $0.31 |
| Salida | 374.4 créditos 1M tokens≈ $1.87 |
Se cobra por token, con tarifas separadas para entrada y salida. Los tokens de razonamiento cuentan como salida. El entorno de pruebas aplica exactamente el mismo cálculo.
Leer la documentación de la API →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-plus-02-15","messages":[{"role":"user","content":"Hello"}]}'