Qwen: Qwen3 VL 8B Instruct

Public pricingMedium memory芖芚ツヌル利甚

Qwen: Qwen3 VL 8B Instruct は マルチモヌダル モデルで、マルチモヌダル掚論ず分析 に向いおいたす。マルチモヌダル入力凊理、深い掚論ず蚈画、131K tokensのコンテキスト、䜎コストの特性を組み合わせ、マルチモヌダル掚論ず分析 で安定した動䜜を支えたす。品質・速床・コスト が重芁な堎面に合っおおり、安定した出力、柔軟な導入、拡匵性を求めるチヌムに実甚的です。 安定した応答、長い文脈凊理、そしお詊䜜から本番たで広く䜿える柔軟さが必芁な堎面で圹立ちたす。 安定した応答、長い文脈凊理、そしお詊䜜から本番たで広く䜿える柔軟さが必芁な堎面で圹立ちたす。 安定した応答、長い文脈凊理、そしお詊䜜から本番たで広く䜿える柔軟さが必芁な堎面で圹立ちたす。 安定した応答、長い文脈凊理、そしお詊䜜から本番たで広く䜿える柔軟さが必芁な堎面で圹立ちたす。

Input

$0.08/1M

Output

$0.50/1M

Cached

$0.01/1M

Batch

$0.02/1M

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What would Qwen3 VL 8B Instruct cost you?

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Technical specifications

Qwen3 VL 8B Instruct at a glance.

Memory

131,072

tokens

Max reply

32,768

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

qwen3

Released

Oct 2025

Training cutoff

Apr 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Qwen3 VL 8B Instruct

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Qwen3 VL 8B Instruct — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

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At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Qwen3 VL 8B Instruct costs roughly $26 per month. Input is $0.08 /1M tokens and output is $0.50 /1M tokens.
Qwen3 VL 8B Instruct has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, Qwen3 VL 8B Instruct supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen3 VL 8B Instruct was released in October 2025, with training data cut off around April 2025.

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