Qwen: Qwen2.5 Coder 32B Instruct

Public pricingIntelligence 70/100Medium memoryUso di strumenti

Qwen2.5 Coder 32B Instruct è un modello testo pensato per programmazione, debug e lavoro tecnico. Unisce ottime prestazioni nel coding e ragionamento e pianificazione approfonditi, un contesto di 33K tokens e un profilo a costo equilibrato per un lavoro affidabile in coding, debugging, and technical writing.

Input

$0.66/1M

Output

$1.00/1M

Cached

$0.02/1M

Batch

$0.04/1M

Calculate your Qwen2.5 Coder 32B Instruct bill.

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What would Qwen2.5 Coder 32B Instruct cost you?

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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.

  • bbh

    52.27

  • humaneval

    92.7

  • ifeval

    72.65

  • livecodebench

    55

  • 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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