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Llama 3.2 90B Instruct vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 4.4% higher average benchmark score. Llama 3.2 90B Instruct is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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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
Qwen2.5-VL 72B was created as the flagship vision-language model in the Qwen 2.5 series, designed to provide advanced multimodal understanding. Built with 72 billion parameters optimized for visual and textual reasoning, it represents Qwen's most capable offering for tasks requiring integrated image and language processing.
4 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Llama 3.2 90B Instruct
Average Score:74.7%
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Qwen2.5 VL 72B Instruct
Average Score:79.1%(+4.4%)
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:74.7%
Providers:5
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Qwen2.5 VL 72B Instruct
Avg Score:79.1%(+4.4%)
Providers:0