Qwen: Qwen2.5 72B Instruct

Public pricingIntelligence 81/100Medium memoryToolgebruik

Qwen2.5 72B Instruct is een tekst-model voor coderen, debuggen en technisch werk. Het combineert sterke codeprestaties, een context van 33K tokens en een laag geprijsd-profiel voor betrouwbaar werk in coding, debugging, and technical writing. Het is een praktische keuze wanneer kwaliteit, snelheid en kosten belangrijk is, vooral voor teams die stabiele output,

Input

$0.12/1M

Output

$0.39/1M

Cached

$0.03/1M

Batch

$0.06/1M

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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.

  • bbh

    61.87

  • humaneval

    86.6

  • ifeval

    86.38

  • livecodebench

    55.5

  • math

    83.1

  • mmlu

    86

  • mmlu_pro

    58.1

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.

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