Qwen: Qwen2.5 VL 72B Instruct

Public pricingIntelligence 79/100Medium memoryVisioneUso di strumenti

Qwen: Qwen2.5 VL 72B Instruct è un modello multimodale pensato per comprensione visione-linguaggio. Unisce la gestione multimodale degli input e la comprensione delle immagini, un contesto di 32K tokens e un profilo a basso costo per un lavoro affidabile in vision-language understanding and content analysis.

Input

$0.25/1M

Output

$0.75/1M

Cached

$0.06/1M

Batch

$0.13/1M

Calculate your Qwen2.5 VL 72B Instruct bill.

Set your workload — see cost at your exact volume.

What would Qwen2.5 VL 72B Instruct cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

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 — the questions we see most.

Pricing, capabilities, alternatives — 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 — 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.

Still unsure?

Compare Qwen2.5 VL 72B Instruct against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

Open the comparison wizard