Models›Qwen 2.5 72B
Qwen 2.5 72B
Alibaba's 72B model with exceptional instruction following and multilingual capability — frequently outperforms Llama 3.3 70B on structured tasks.
72B
parameters
48GB
minimum RAM
Overview
What makes Qwen 2.5 72B notable
Qwen 2.5 72B is Alibaba's most capable open-weight release in the Qwen 2.5 generation. It was trained on 18 trillion tokens with particular emphasis on instruction following, structured output, and multilingual capability across 29 languages.
On standardized benchmarks, Qwen 2.5 72B frequently edges out Llama 3.3 70B — particularly on tasks that require following complex multi-step instructions, structured data processing, and translation. It's the go-to choice when your work involves non-English languages or highly structured workflows.
For professionals who need a 70B-class model and work with structured documents, contracts, or multilingual content, Qwen 2.5 72B is often the better pick over Llama 3.3 70B. Both run on the same 48GB hardware tier.
Best use cases
What it excels at
- ✓Multilingual document review and translation across 29 languages
- ✓Structured data extraction and transformation
- ✓Following complex, multi-step professional instructions
- ✓Contract and policy analysis with structured output
- ✓Research synthesis requiring precise, factual responses
- ✓Customer communication in multiple languages
Compatibility
Hardware requirements
| Mac model | RAM | Performance | Notes |
|---|---|---|---|
| Mac Mini M4 Pro | 48GB | Good | Q4/Q5 quantization — minimum spec for this model |
| Mac Studio M4 Max | 128GB | Excellent | Q6/Q8 quantization — highly recommended |
| Mac Studio M3 Ultra | 192GB+ | Optimal | Q8 full precision — run multiple models simultaneously |
Speed
Approximate tokens/second
Use case fit
Quality ratings
Cost comparison
Without local AI, the equivalent capability costs:
Cloud equivalent
GPT-4o
~$200/moper month
Local with Maai Machines
Qwen 2.5 72B
$0per month
~$10/month electricity. One-time setup.
Run Qwen 2.5 72B on your own hardware.
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