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Llama 3.2 3B Instruct vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 33.5% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
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Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Llama 3.2 3B Instruct
Average Score:43.9%(+33.5%)
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QvQ-72B-Preview
Average Score:10.4%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
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QvQ-72B-Preview
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Llama 3.2 3B Instruct
Avg Score:43.9%(+33.5%)
Providers:1
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QvQ-72B-Preview
Avg Score:10.4%
Providers:0