Qwen: Qwen2.5 Coder 32B Instruct

Public pricingIntelligence 70/100Medium memoryटूल उपयोग

Qwen2.5 Coder 32B Instruct एक टेक्स्ट मॉडल है, जिसे कोडिंग, डिबगिंग और तकनीकी कार्य के लिए बनाया गया है। यह मजबूत coding प्रदर्शन، गहरी तर्कशक्ति और योजना, 33K tokens का context और संतुलित लागत profile जोड़कर coding, debugging, and technical writing में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब सटीकता, context और नियंत्रण महत्वपूर्ण हो,

Input

$0.66/1M

Output

$1.00/1M

Cached

$0.02/1M

Batch

$0.04/1M

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Technical specifications

Qwen2.5 Coder 32B Instruct at a glance.

Memory

32,768

tokens

Max reply

8,192

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

qwen

Released

Nov 2024

Training cutoff

Jun 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • humaneval

    92.7

  • livecodebench

    55

  • ifeval

    72.65

  • bbh

    52.27

  • mmlu_pro

    37.92

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 Coder 32B Instruct

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.
  • Code generation, review, or refactoring.

When to look elsewhere

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

Alternatives

Similar models to compare.

FAQ

Qwen2.5 Coder 32B 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 Coder 32B Instruct costs roughly $90 per month. Input is $0.66 /1M tokens and output is $1.00 /1M tokens.
Qwen2.5 Coder 32B 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 Coder 32B Instruct supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen2.5 Coder 32B Instruct was released in November 2024, with training data cut off around June 2024.
Models in a similar class include Qwen3 Coder Plus, Qwen3 Coder 480B A35B, Qwen3 Coder Flash. The "Similar models" section below this FAQ links into each.

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