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
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
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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Qwen2.5-Max
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Qwen2.5-72B-Instruct
Large · 128,000 ctx
in $1.200/Mout $1.200/M
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Balanced · 128,000 ctx
in $0.700/Mout $0.700/M
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in $0.350/Mout $0.350/M
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.