Qwen: Qwen3 VL 8B Instruct✓ Catalog verified
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon temporal reasoning, DeepStack for fine-grained visual-text alignment, and text-timestamp alignment for precise event localization. The model supports a native 256K-token context window, extensible to 1M tokens, and handles both static and dynamic media inputs for tasks like document parsing, visual question answering, spatial reasoning, and GUI control. It achieves text understanding comparable to leading LLMs while expanding OCR coverage to 32 languages and enhancing robustness under varied visual conditions.
Overview
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon temporal reasoning, DeepStack for fine-grained visual-text alignment, and text-timestamp alignment for precise event localization. The model supports a native 256K-token context window, extensible to 1M tokens, and handles both static and dynamic media inputs for tasks like document parsing, visual question answering, spatial reasoning, and GUI control. It achieves text understanding comparable to leading LLMs while expanding OCR coverage to 32 languages and enhancing robustness under varied visual conditions.
Access: available through the official Qwen API. Context window: 131K.
Specifications
| API identifier | qwen/qwen3-vl-8b-instruct |
| Provider | Qwen |
| Model type | Multimodal LLM |
| Context window | 131K catalog |
| Input modalities | image · text |
| Output modalities | text |
| Released | Oct 14, 2025 |
| Tokenizer | Qwen3 |
| Moderated | No |
| Architecture modality | text+image->text |
API defaults
{
"top_p": 0.8,
"temperature": 0.7,
"frequency_penalty": null
}Pricing
Live pricing components for qwen/qwen3-vl-8b-instruct as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $8e-8 | $0.08 / 1M | Per input token |
| Completion tokens | $5e-7 | $0.50 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.14Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | ✓ Supported | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Qwen: Qwen3 VL 8B Instruct through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="qwen/qwen3-vl-8b-instruct",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| AionLabs: Aion-1.0 | Aion Labs | 131K | $4.00 | View → |
| AionLabs: Aion-1.0-Mini | Aion Labs | 131K | $0.70 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Qwen: Qwen3 VL 8B Instruct cost?
$0.08 per 1M input tokens and $0.50 per 1M output tokens on the official Qwen API.
What is the context window of Qwen: Qwen3 VL 8B Instruct?
Qwen: Qwen3 VL 8B Instruct supports up to 131K tokens of context.
Does Qwen: Qwen3 VL 8B Instruct support tool / function calling?
Yes, Qwen: Qwen3 VL 8B Instruct supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Qwen: Qwen3 VL 8B Instruct?
Use the official Qwen API with the model id `qwen/qwen3-vl-8b-instruct`. See the Quick start section above for code examples.