Qwen
Qwen
Efficient

Qwen2.5-7B-Instruct

Compact

7B Qwen2.5, the most-deployed Qwen size on inference platforms. Cheap multilingual chat.

Qwen2.5-7B-Instruct 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
  • Cheap multilingual
  • Open weights
  • 128K context
Typical use cases
  • Bulk multilingual classification
  • Cheap self-hosted chat

Benchmarks

vs. best public score
MMLU74%
Multitask academic knowledge across 57 subjects.
MATH75%
High-school competition math problems.
Python function synthesis from docstrings.
LMArena Elo1162 Elo
Crowd-sourced head-to-head preference Elo rating.
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 Qwen2.5-7B-Instruct cost?

Qwen2.5-7B-Instruct 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 Qwen2.5-7B-Instruct's context window?

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

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

Qwen2.5-7B-Instruct is well suited to Cheap multilingual, Open weights and 128K context.

Who makes Qwen2.5-7B-Instruct?

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

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