Qwen2.5 72B Instruct: capabilities, context and price
Qwen2.5 72B Instruct is a Deepinfra route represented in Tavory for qwen3, the latest generation in the qwen large language model series, features both dense and mixture-of-experts (moe) architectures to excel in reasoning, multilingual support, and advanced agent tasks. its unique ability to switch seamlessly between a thinking mode for complex reasoning and a non-thinking mode for efficient dialogue ensures versatile, high-quality performance.
significantly outperforming prior models like qwq and qwen2.5, qwen3 delivers superior mathematics, coding, commonsense reasoning, creative writing, and interactive dialogue capabilities. the qwen3-30b-a3b variant includes 30.5 billion parameters (3.3 billion activated), 48 layers, 128 experts (8 activated per task), and supports up to 131k token contexts with yarn, setting a new standard among open-source models..
Tavory's live catalog lists Qwen2.5 72B Instruct through Deepinfra. The route is described as qwen3, the latest generation in the qwen large language model series, features both dense and mixture-of-experts (moe) architectures to excel in reasoning, multilingual support, and advanced agent tasks. its unique ability to switch seamlessly between a thinking mode for complex reasoning and a non-thinking mode for efficient dialogue ensures versatile, high-quality performance.
significantly outperforming prior models like qwq and qwen2.5, qwen3 delivers superior mathematics, coding, commonsense reasoning, creative writing, and interactive dialogue capabilities. the qwen3-30b-a3b variant includes 30.5 billion parameters (3.3 billion activated), 48 layers, 128 experts (8 activated per task), and supports up to 131k token contexts with yarn, setting a new standard among open-source models.. This page summarizes the current catalog facts so you can compare context, capabilities and provider price signals before opening a workspace request. Availability, plan access and final cost are checked again when you send.
Good fit for
text and chat
Strengths and limitations
Catalog strengths
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique ability to switch seamlessly between a thinking mode for complex reasoning and a non-thinking mode for efficient dialogue ensures versatile, high-quality performance.
Significantly outperforming prior models like QwQ and Qwen2.5, Qwen3 delivers superior mathematics, coding, commonsense reasoning, creative writing, and interactive dialogue capabilities. The Qwen3-30B-A3B variant includes 30.5 billion parameters (3.3 billion activated), 48 layers, 128 experts (8 activated per task), and supports up to 131K token contexts with YaRN, setting a new standard among open-source models.
4/5 catalog quality signal
4/5 catalog speed signal
Keep in mind
Live availability and plan access can change.
Catalog signals do not guarantee a result for every prompt.
How to use Qwen2.5 72B Instruct in Tavory
01
Open the workspace
Sign in, start a conversation and keep the task or project context together.
02
Choose Qwen2.5 72B Instruct
Select the model manually so Tavory preserves your choice for the request.
03
Review the result
Check the displayed model, answer, usage and settled cost before continuing.
Tavory's live catalog lists Qwen2.5 72B Instruct through Deepinfra. The route is described as qwen3, the latest generation in the qwen large language model series, features both dense and mixture-of-experts (moe) architectures to excel in reasoning, multilingual support, and advanced agent tasks. its unique ability to switch seamlessly between a thinking mode for complex reasoning and a non-thinking mode for efficient dialogue ensures versatile, high-quality performance.
significantly outperforming prior models like qwq and qwen2.5, qwen3 delivers superior mathematics, coding, commonsense reasoning, creative writing, and interactive dialogue capabilities. the qwen3-30b-a3b variant includes 30.5 billion parameters (3.3 billion activated), 48 layers, 128 experts (8 activated per task), and supports up to 131k token contexts with yarn, setting a new standard among open-source models.. This page summarizes the current catalog facts so you can compare context, capabilities and provider price signals before opening a workspace request. Availability, plan access and final cost are checked again when you send.
What can Qwen2.5 72B Instruct be used for?
Qwen2.5 72B Instruct is represented in Tavory for text and chat. Suitability still depends on the prompt and required capabilities.
Can I use Qwen2.5 72B Instruct in Tavory?
If Qwen2.5 72B Instruct is eligible for your plan and a healthy route is available when you send, you can choose it in Tavory. Tavory is an independent workspace and is not the manufacturer of Qwen2.5 72B Instruct.
How much does Qwen2.5 72B Instruct cost in Tavory?
$0.23 input / $0.4 output per 1M tokens is the current public catalog signal. Tavory checks the selected route and shows the applicable request cost; provider data can change.
