Qwen2.5 Coder 7B Instruct

Alibaba Qwen chattool_usecode

API ID: qwen/qwen2.5-coder-7b-instruct

Input Price
$0.03
/1M tokens
Output Price
$0.09
/1M tokens

About Qwen2.5 Coder 7B Instruct

Qwen2.5 Coder 7B Instruct is a budget-friendly general-purpose model from Alibaba Qwen with standard context (33k), suitable for conversations, content creation, and general AI tasks.

๐Ÿ’ฐ
Price Ranking
#580 lowest price among 950 Chat models

Model Specifications

Context Length
33k
Max Output
โ€”
Release Date
2025-04-15
Capabilities
chat tool_use code
Input Modalities
text
Output Modalities
text

Best For

  • Code generation, debugging, code review, refactoring
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.04
/month
50 conversations/day, ~500 tokens each
Code Copilot
$0.36
/month
200 completions/day, ~1k tokens each
Customer Service Bot
$1.26
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$1.75
/month
500 analyses/day, ~2k tokens each

Alibaba Qwen Model Lineup

Compare all models from Alibaba Qwen to find the best fit

Model Input Output Context Capabilities
Qwen2.5 Coder 7B Instruct Current Free Free 33k chat tool_use code
Qwen2.5-VL 7B Instruct Free Free 33k chat vision tool_use
Qwen3 Embedding 0.6B Free Free 8k chat code
Qwen3 Embedding 0.6B Free Free 8k chat code
Qwen2.5 VL 3B Instruct Free Free 64k chat vision code
Qwen2.5 VL 3B Instruct Free Free 64k chat vision code

Similar Models from Other Providers

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Input: $0.03
Output: $0.09
Context: 8k
Other MythoMax 13B
Input: $0.06
Output: $0.06
Context: 4k
Google Gemma 3 4B
Input: $0.04
Output: $0.08
Context: 131k
Nous Research DeepHermes 3 Mistral 24B Preview
Input: $0.02
Output: $0.10
Context: 33k

๐Ÿš€ Quick Start

Get started with Qwen2.5 Coder 7B Instruct API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="qwen/qwen2.5-coder-7b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)