prices synced 2026-07-28

Qwen2.5 7B Instruct

Alibaba · Released Oct 2024

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Qwen2.5 7B Instruct is a 7-billion parameter open-weight language model from Alibaba optimized for instruction-following tasks with a 32K token context window.

Strengths
The model shows improved coding capabilities and broader knowledge compared to earlier Qwen2 versions, performing well on general instruction-following and technical problem-solving.
Best for
Self-hosted or on-device deployments where you need a capable smaller model for coding assistance, technical Q&A, and general text generation with moderate resource constraints.
Limitations
As a 7B model, it has less reasoning depth and knowledge breadth than larger models, and may struggle with complex multi-step reasoning or highly specialized domain tasks.

Input / 1M

$0.04

Output / 1M

$0.1

Cached input / 1M

Context window

32K

Price history

Price per 1M tokens over timeOutput $0.1; Input $0.04 as of Jun 2026.$0$0.02$0.04$0.06$0.08$0.1Output on 11 Jun 2026: $0.1Out $0.1Input on 11 Jun 2026: $0.04In $0.04Jun 2026

Snapshots

Effective Input Output Cached in Note Source
11 Jun 2026 $0.04 $0.1 Imported from OpenRouter openrouter.ai

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