Qwen
Qwen
Efficient

Qwen2.5-3B-Instruct

Micro

3B Qwen2.5, edge-friendly model with surprisingly strong instruction following for its size.

Qwen2.5-3B-Instruct is a efficient AI model from Qwen. It costs $0.050 per million input tokens and $0.050 per million output tokens (blended $0.050/M), with a 32,000-token context window.

INPUT
$0.050/M
per million input tokens
OUTPUT
$0.050/M
per million output tokens
BLENDED 70/30
$0.050/M
unchanged since 3 May
CONTEXT
32,000
tokens
What it is good at
  • Edge / mobile capable
  • Open weights
  • Multilingual at 3B
Typical use cases
  • On-device assistants
  • Edge multilingual chat

Benchmarks

vs. best public score
MMLU65%
Multitask academic knowledge across 57 subjects.
MATH65%
High-school competition math problems.
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 Qwen2.5-3B-Instruct cost?

Qwen2.5-3B-Instruct costs $0.050 per million input tokens and $0.050 per million output tokens, for a blended reference rate of $0.050 per million tokens.

What is Qwen2.5-3B-Instruct's context window?

Qwen2.5-3B-Instruct supports up to 32,000 tokens of context in a single request.

What is Qwen2.5-3B-Instruct best for?

Qwen2.5-3B-Instruct is well suited to Edge / mobile capable, Open weights and Multilingual at 3B.

Who makes Qwen2.5-3B-Instruct?

Qwen2.5-3B-Instruct is developed and served by Qwen. It was released in Sep 2024.

Terms used on this page