Qwen: Qwen2.5 7B Instruct

Public pricingIntelligence 72/100Medium memoryUso de ferramentas

Qwen: Qwen2.5 7B Instruct é um modelo texto criado para programação, depuração e trabalho técnico. Ele combina bom desempenho em programação, um contexto de 33K tokens e um perfil baixo custo para entregar trabalho confiável em coding, debugging, and technical writing.

Input

$0.04/1M

Output

$0.10/1M

Cached

$0.01/1M

Batch

$0.02/1M

Calculate your Qwen2.5 7B Instruct bill.

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What would Qwen2.5 7B Instruct cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Qwen2.5 7B Instruct at a glance.

Memory

32,768

tokens

Max reply

32,768

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

    34.89

  • humaneval

    57.9

  • ifeval

    75.85

  • math

    49.8

  • mmlu

    74.2

  • mmlu_pro

    36.52

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 7B 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 7B 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 7B Instruct costs roughly $7 per month. Input is $0.04 /1M tokens and output is $0.10 /1M tokens.
Qwen2.5 7B 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 7B Instruct supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen2.5 7B Instruct was released in September 2024, with training data cut off around June 2024.
Models in a similar class include Qwen-Turbo, Qwen3 8B, Qwen3 14B. The "Similar models" section below this FAQ links into each.

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