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Llama 3.2 90B Instruct vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 5.3% higher average benchmark score. Llama 3.2 90B Instruct is available on 5 providers. Overall, Qwen2-VL-72B-Instruct is the stronger choice for coding tasks.
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Meta
Llama 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
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Alibaba Cloud / Qwen Team
Qwen2-VL 72B was developed as a large vision-language model, designed to handle multimodal tasks combining visual and textual understanding. Built with 72 billion parameters for integrated vision and language processing, it enables applications requiring sophisticated analysis of images alongside text.
27 days newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Llama 3.2 90B Instruct
Meta
2024-09-25
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Llama 3.2 90B Instruct
Average Score:68.1%
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Qwen2-VL-72B-Instruct
Average Score:73.3%(+5.3%)
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Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
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:68.1%
Providers:5
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Qwen2-VL-72B-Instruct
Avg Score:73.3%(+5.3%)
Providers:0