Qwen
Qwen
Efficient

Qwen2.5-1.5B-Instruct

Nano

1.5B Qwen2.5, runs on a phone. Smallest Qwen useful for production assistant work.

Qwen2.5-1.5B-Instruct is a efficient AI model from Qwen. It costs $0.030 per million input tokens and $0.030 per million output tokens (blended $0.030/M), with a 32,000-token context window.

INPUT
$0.030/M
per million input tokens
OUTPUT
$0.030/M
per million output tokens
BLENDED 70/30
$0.030/M
unchanged since 3 May
CONTEXT
32,000
tokens
What it is good at
  • Mobile/edge
  • Open weights
  • Multilingual
Typical use cases
  • On-device routing
  • Edge inference

Benchmarks

vs. best public score
Graduate-level science questions, "Google-proof".
MATH55%
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.

More from Qwen

See all 22 →

Frequently asked questions

How much does Qwen2.5-1.5B-Instruct cost?

Qwen2.5-1.5B-Instruct costs $0.030 per million input tokens and $0.030 per million output tokens, for a blended reference rate of $0.030 per million tokens.

What is Qwen2.5-1.5B-Instruct's context window?

Qwen2.5-1.5B-Instruct supports up to 32,000 tokens of context in a single request.

What is Qwen2.5-1.5B-Instruct best for?

Qwen2.5-1.5B-Instruct is well suited to Mobile/edge, Open weights and Multilingual.

Who makes Qwen2.5-1.5B-Instruct?

Qwen2.5-1.5B-Instruct is developed and served by Qwen. It was released in Sep 2024.

Terms used on this page