Qwen: Qwen2.5 72B Instruct

Public pricingIntelligence 81/100Medium memoryツール利用

Qwen2.5 72B Instruct は テキスト モデルで、コーディング、デバッグ、技術作業 に向いています。高いコーディング性能、33K tokensのコンテキスト、低コストの特性を組み合わせ、coding, debugging, and technical writing 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

$0.12/1M

Output

$0.39/1M

Cached

$0.03/1M

Batch

$0.06/1M

Calculate your Qwen2.5 72B Instruct bill.

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What would Qwen2.5 72B Instruct cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Qwen2.5 72B Instruct at a glance.

Memory

32,768

tokens

Max reply

16,384

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

qwen

Released

Sep 2024

Training cutoff

Jun 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    86

  • mmlu_pro

    58.1

  • humaneval

    86.6

  • math

    83.1

  • livecodebench

    55.5

  • ifeval

    86.38

  • bbh

    61.87

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 72B Instruct

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Qwen2.5 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 72B Instruct costs roughly $25 per month. Input is $0.12 /1M tokens and output is $0.39 /1M tokens.
Qwen2.5 72B Instruct has a 32,768-token context window (medium memory — a long report or a codebase file). That means you can fit about 6,144 words of input and history in a single call.
Beyond text generation, Qwen2.5 72B Instruct supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen2.5 72B Instruct was released in September 2024, with training data cut off around June 2024.
Models in a similar class include Qwen3 VL 8B Thinking, Qwen3 235B A22B Thinking 2507, Qwen3 VL 30B A3B Instruct. The "Similar models" section below this FAQ links into each.

Still unsure?

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