Qwen: Qwen2.5 VL 72B Instruct

Public pricingIntelligence 79/100Medium memory視覚ツール利用

Qwen: Qwen2.5 VL 72B Instruct はマルチモーダルモデルで、視覚言語理解に向いています。マルチモーダル入力処理、画像理解、32K tokensのコンテキスト、低コストの特性を組み合わせ、vision-language understanding and content analysis で安定した動作を支えます。品質・速度・コストが重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

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.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

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?

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