Qwen
Qwen
Efficient

Qwen2.5-Coder-7B

Code Nano

7B Qwen2.5-Coder, cheap code model for IDE autocomplete on consumer hardware.

Qwen2.5-Coder-7B is a efficient AI model from Qwen. It costs $0.100 per million input tokens and $0.100 per million output tokens (blended $0.100/M), with a 128,000-token context window.

INPUT
$0.100/M
per million input tokens
OUTPUT
$0.100/M
per million output tokens
BLENDED 70/30
$0.100/M
unchanged since 3 May
CONTEXT
128,000
tokens
What it is good at
  • Consumer-GPU code model
  • Open weights
Typical use cases
  • IDE autocomplete
  • Cheap code completion

Benchmarks

vs. best public score
Python function synthesis from docstrings.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Qwen2.5-Coder-7B cost?

Qwen2.5-Coder-7B costs $0.100 per million input tokens and $0.100 per million output tokens, for a blended reference rate of $0.100 per million tokens.

What is Qwen2.5-Coder-7B's context window?

Qwen2.5-Coder-7B supports up to 128,000 tokens of context in a single request.

What is Qwen2.5-Coder-7B best for?

Qwen2.5-Coder-7B is well suited to Consumer-GPU code model, Open weights and IDE autocomplete.

Who makes Qwen2.5-Coder-7B?

Qwen2.5-Coder-7B is developed and served by Qwen. It was released in Nov 2024.

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