Model Cost Profile

Qwen: Qwen Plus 0728

Developer: qwen

Pricing updated Mar 11, 2026

Input rank: #161Output rank: #153

Live Pricing

Input: $0.2600

Output: $0.7800

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Qwen Plus 0728, developed by qwen, offers an extensive context window of 1,000,000 tokens, making it suitable for applications requiring in-depth analysis, such as legal document review and large-scale data processing. Teams utilizing this API model can expect an input cost of $0.40 per million tokens and an output cost of $1.20 per million tokens, which can significantly affect budget planning based on usage patterns. Its high token capacity enables more complex interactions, allowing for richer and more nuanced responses in conversational AI and content generation scenarios.

๐Ÿ”ง Tool Calling๐Ÿ“‹ Structured Output

Context Window

1,000,000

Tokens

Input Price / 1M

$0.2600

Prompt tokens

Output Price / 1M

$0.7800

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Qwen: Qwen Plus 0728 Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.2600$0.5200$0.7800Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.2600

Current Output / 1M

$0.7800

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Qwen: Qwen Plus 0728.

How much does Qwen: Qwen Plus 0728 cost per 1M input tokens?

Qwen: Qwen Plus 0728 input pricing is $0.2600 per 1M tokens based on the latest synced provider data.

How much does Qwen: Qwen Plus 0728 cost per 1M output tokens?

Qwen: Qwen Plus 0728 output pricing is $0.7800 per 1M tokens based on the latest synced provider data.

What context window does Qwen: Qwen Plus 0728 support?

Qwen: Qwen Plus 0728 supports a context window of 1,000,000 tokens.

How can I compare Qwen: Qwen Plus 0728 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.