Qwen: Qwen2.5 7B Instruct

Public pricingIntelligence 72/100Medium memory도ꡬ ν™œμš©

Qwen: Qwen2.5 7B Instruct은 μ½”λ”©, 디버깅, 기술 μž‘μ—…μ— 맞좘 ν…μŠ€νŠΈ λͺ¨λΈμž…λ‹ˆλ‹€. κ°•λ ₯ν•œ μ½”λ”© μ„±λŠ₯, 33K tokens의 μ»¨ν…μŠ€νŠΈ, μ €λΉ„μš© νŠΉμ„±μ„ κ²°ν•©ν•΄ coding, debugging, and technical writingμ—μ„œ μ•ˆμ •μ μΈ μž‘μ—…μ„ λ•μŠ΅λ‹ˆλ‹€. 특히 ν’ˆμ§ˆ, 속도, λΉ„μš©κ°€ μ€‘μš”ν•œ κ²½μš°μ— 잘 맞으며, μ•ˆμ •μ μΈ 좜λ ₯, μœ μ—°ν•œ 배포, ν™•μž₯성을 μ€‘μ‹œν•˜λŠ” νŒ€μ— μ‹€μš©μ μž…λ‹ˆλ‹€. μ•ˆμ •μ μΈ 응닡, 넓은 λ¬Έλ§₯ 처리, 그리고 μ‹œμ œν’ˆλΆ€ν„° μš΄μ˜κΉŒμ§€ μ΄μ–΄μ§€λŠ” μœ μ—°μ„±μ΄ ν•„μš”ν•  λ•Œ μœ μš©ν•©λ‹ˆλ‹€. μ•ˆμ •μ μΈ 응닡, 넓은 λ¬Έλ§₯ 처리, 그리고 μ‹œμ œν’ˆλΆ€ν„° μš΄μ˜κΉŒμ§€ μ΄μ–΄μ§€λŠ” μœ μ—°μ„±μ΄ ν•„μš”ν•  λ•Œ μœ μš©ν•©λ‹ˆλ‹€.

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.

  • mmlu

    74.2

  • humaneval

    57.9

  • math

    49.8

  • ifeval

    75.85

  • bbh

    34.89

  • 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 β€” pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Qwen2.5 7B Instruct β€” the questions we see most.

Pricing, capabilities, alternatives β€” 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 β€” 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.

Still unsure?

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