Qwen: Qwen2.5 VL 72B Instruct

Public pricingIntelligence 79/100Medium memory비전도ꡬ ν™œμš©

Qwen: Qwen2.5 VL 72B Instruct은 λΉ„μ „-μ–Έμ–΄ 이해에 맞좘 λ©€ν‹°λͺ¨λ‹¬ λͺ¨λΈμž…λ‹ˆλ‹€. λ©€ν‹°λͺ¨λ‹¬ μž…λ ₯ μ²˜λ¦¬γ€μ΄λ―Έμ§€ 이해, 32K tokens의 μ»¨ν…μŠ€νŠΈ, μ €λΉ„μš© νŠΉμ„±μ„ κ²°ν•©ν•΄ vision-language understanding and content analysisμ—μ„œ μ•ˆμ •μ μΈ μž‘μ—…μ„ λ•μŠ΅λ‹ˆλ‹€. 특히 ν’ˆμ§ˆ, 속도, λΉ„μš©κ°€ μ€‘μš”ν•œ κ²½μš°μ— 잘 맞으며, μ•ˆμ •μ μΈ 좜λ ₯, μœ μ—°ν•œ 배포, ν™•μž₯성을 μ€‘μ‹œν•˜λŠ” νŒ€μ— μ‹€μš©μ μž…λ‹ˆλ‹€. μ•ˆμ •μ μΈ 응닡, 넓은 λ¬Έλ§₯ 처리, 그리고 μ‹œμ œν’ˆλΆ€ν„° μš΄μ˜κΉŒμ§€ μ΄μ–΄μ§€λŠ” μœ μ—°μ„±μ΄ ν•„μš”ν•  λ•Œ μœ μš©ν•©λ‹ˆλ‹€. μ•ˆμ •μ μΈ 응닡, 넓은 λ¬Έλ§₯ 처리, 그리고 μ‹œμ œν’ˆλΆ€ν„° μš΄μ˜κΉŒμ§€ μ΄μ–΄μ§€λŠ” μœ μ—°μ„±μ΄ ν•„μš”ν•  λ•Œ μœ μš©ν•©λ‹ˆλ‹€.

Input

$0.25/1M

Output

$0.75/1M

Cached

$0.06/1M

Batch

$0.13/1M

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Technical specifications

Qwen2.5 VL 72B Instruct at a glance.

Memory

32,000

tokens

Max reply

8,192

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

qwen

Released

Jan 2025

Training cutoff

Oct 2024

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 Qwen2.5 VL 72B 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

Qwen2.5 VL 72B Instruct β€” the questions we see most.

Pricing, capabilities, alternatives β€” generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Qwen2.5 VL 72B Instruct costs roughly $49 per month. Input is $0.25 /1M tokens and output is $0.75 /1M tokens.
Qwen2.5 VL 72B Instruct has a 32,000-token context window (medium memory β€” a long report or a codebase file). That means you can fit about 6,000 words of input and history in a single call.
Beyond text generation, Qwen2.5 VL 72B Instruct supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen2.5 VL 72B Instruct was released in January 2025, with training data cut off around October 2024.
Models in a similar class include Qwen Plus 0728 (thinking), Qwen-Plus, Qwen3 VL 235B A22B Thinking. The "Similar models" section below this FAQ links into each.

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