Alibaba Qwen: Qwen3 VL 8B Instruct

Coming soonQuick Start

Qwen3 VL 8B Instruct is Alibaba Qwen's 8-billion-parameter vision-language model, released 2025-10. It uses Interleaved-MRoPE and DeepStack for fine-grained visual-text alignment and long-horizon temporal reasoning, and its native 256K context window extends to 1M tokens. The model expands OCR to 32 languages and targets document parsing, visual question answering, spatial reasoning, and GUI control.

This model is not routed on MirAPI yet — prices shown are the official list prices. Create an account to get notified when it goes live.

Modalities
inImageinTextoutText
Price / 1M
$0.12 / $0.45
Context
262K
Knowledge cutoff

Capabilities

VisionTool useLong contextStructured output

Benchmarks

bar = score (0–100) · ▏ median

Scores from vendor reports and public leaderboards. No private evals.

GPQA Diamond
Science QA
52.1
#87
τ-bench (airline)
Agentic tool use
33.9
#94

Showcase

Three fixed prompts, identical for every chat model. Outputs are archived verbatim — copy the prompt to reproduce.

Task prompt · identical for all models
Build a single-file HTML page using three.js from a CDN: a low-poly planet with a tilted ring of ~200 orbiting particles, a soft key light plus rim light, slow auto-rotation, and drag-to-orbit controls. No build tools — one file only.
Archived output
Archive not published yet

Every model will run this exact prompt; the output lands here verbatim, with tokens and per-run cost.

Quick Start

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.mirapi.ai/v1",   # changed
    api_key=os.environ["MIRAPI_API_KEY"],   # changed
)

resp = client.chat.completions.create(
    model="qwen/qwen3-vl-8b-instruct",
    messages=[{"role": "user", "content": "Hello"}],
)
Wire Qwen3 VL 8B Instruct into your product

1M free tokens to start · no card · OpenAI-compatible, one base_url change

Start free