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Llama 3.2 90B Instruct vs Qwen2 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2 72B Instruct leads with 12.0% higher average benchmark score. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, Qwen2 72B Instruct is the stronger choice for coding tasks.
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Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. 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 Meta's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Qwen2 72B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
Llama 3.2 90B Instruct
Meta
2024-09-25
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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Llama 3.2 90B Instruct
Average Score:34.3%
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Qwen2 72B Instruct
Average Score:46.3%(+12.0%)
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 90B Instruct
5 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 24 tok/s
Latency: 0.5ms
Fireworks
Throughput: 50 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 42 tok/s
Latency: 0.5ms
Together
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Llama 3.2 90B Instruct
Avg Score:34.3%
Providers:5
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Qwen2 72B Instruct
Avg Score:46.3%(+12.0%)
Providers:0