Model Cost Profile

Qwen: Qwen2.5 7B Instruct

Developer: qwen

Pricing updated Mar 11, 2026

Input rank: #48Output rank: #42

Live Pricing

Input: $0.0400

Output: $0.1000

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Qwen2.5 7B Instruct by qwen is designed for applications requiring extensive context, with a generous context window of 32,768 tokens, making it suitable for complex tasks such as document summarization and conversational AI. Teams leveraging this API model can expect an input cost of $0.04 per million tokens and an output cost of $0.10 per million tokens, which can significantly impact budget planning based on usage patterns. This model is particularly advantageous for organizations that need to process large volumes of text while maintaining high-quality outputs in real-time applications.

๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output

Context Window

32,768

Tokens

Input Price / 1M

$0.0400

Prompt tokens

Output Price / 1M

$0.1000

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Qwen: Qwen2.5 7B Instruct Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.0400$0.0700$0.1000Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.0400

Current Output / 1M

$0.1000

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Qwen: Qwen2.5 7B Instruct.

How much does Qwen: Qwen2.5 7B Instruct cost per 1M input tokens?

Qwen: Qwen2.5 7B Instruct input pricing is $0.0400 per 1M tokens based on the latest synced provider data.

How much does Qwen: Qwen2.5 7B Instruct cost per 1M output tokens?

Qwen: Qwen2.5 7B Instruct output pricing is $0.1000 per 1M tokens based on the latest synced provider data.

What context window does Qwen: Qwen2.5 7B Instruct support?

Qwen: Qwen2.5 7B Instruct supports a context window of 32,768 tokens.

How can I compare Qwen: Qwen2.5 7B Instruct with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.