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Top-Tier Qwen2.5 72B Instruct scores 16 on the Artificial Analysis Intelligence Index, well above average (median 13) for comparable open-weight models, and matches or surpasses much larger models like Llama-3-405B on reasoning, math, coding, and multilingual benchmarks. Reasoning

Qwen 2.5 72B

Qwen 2.5 72B is a 72-billion parameter open-source language model from Alibaba that excels in multilingual reasoning, coding, and long-context tasks with support for up to 128,000 tokens, making it ideal for complex applications ranging from customer support to enterprise AI solutions. With strong performance on mathematical and programming benchmarks and the flexibility to run on your own servers for enhanced data privacy, it offers a cost-effective alternative to proprietary models without compromising capability.

128k Context
Top-Tier Qwen2.5 72B Instruct scores 16 on the Artificial Analysis Intelligence Index, well above average (median 13) for comparable open-weight models, and matches or surpasses much larger models like Llama-3-405B on reasoning, math, coding, and multilingual benchmarks. Intelligence
Dec '23 Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

MMLU
85+
HumanEval
not specified
MATH
not specified

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Why use Qwen 2.5 72B?

Capability Examples

Long-Context Reasoning
Summarize this 100k-token novel excerpt focusing on key plot twists and character arcs.
After analyzing the extensive narrative, the protagonist undergoes a profound transformation from naive hero to cunning anti-hero through three major twists: betrayal by ally (ch. 5), hidden lineage reveal (ch. 12), and sacrificial redemption (ch. 28). Arcs include villain's fall from arrogance and sidekick's loyalty test.fas fa-book
Multimodal Diagram Analysis
Describe the key components and data flow in this uploaded flowchart image of a neural network architecture.
The flowchart depicts a transformer-based VLM: input layer feeds multimodal tokens (text+image) via untied embeddings to RMSNorm-pre-normalized attention blocks with dynamic RoPE; outputs route to autoregressive decoder for generation. Arrows show bidirectional flow, bottlenecks at 72B params.fas fa-image

How to use

1
Go to Chat

Navigate to the "AI Chat" page.

2
Select Model

Ensure Qwen 2.5 72B is selected.

3
Type Prompt

Ask a question or paste code.

4
Interact

Refine the answer by replying to the AI.

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