Qwen3-VL-8B-Instruct

by Qwen

8B vision-language model with 262K context and strong visual reasoning

2.8Mdl/month

8.77Bparams

HuggingFace Use in Pipeline

Identifiers

Model ID

Qwen/Qwen3-VL-8B-Instruct

Feature URI

mixpeek://image_extractor@v1/qwen3_vl_8b_v1

Overview

Qwen3-VL-8B-Instruct is Alibaba's instruction-tuned vision-language model that combines an 8B parameter dense language model with a 400M SigLIP-2 vision encoder. It supports text, image, and video understanding with a native 262K token context window extensible to ~1M tokens, delivering performance that surpasses models 3x its size on key benchmarks.

On Mixpeek, Qwen3-VL-8B powers rich visual understanding tasks including scene captioning, document analysis, and video comprehension where you need detailed visual reasoning without the cost of running a 30B+ model.

Architecture

Early-fusion multimodal architecture built on a dense hybrid foundation of Gated Delta Networks and Gated Attention. The 8B LLM backbone is augmented with a 400M SigLIP-2 SO vision encoder, two-layer MLP mergers, and DeepStack adapters for multimodal and video capabilities.

Mixpeek SDK Integration

import { Mixpeek } from "mixpeek";

const mx = new Mixpeek({ apiKey: "API_KEY" });

await mx.collections.ingest({
  collection_id: "my-collection",
  source: { url: "https://example.com/video.mp4" },
  feature_extractors: [{
    name: "scene_description",
    version: "v1",
    params: {
      model_id: "Qwen/Qwen3-VL-8B-Instruct"
    }
  }]
});