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Llama 3.2 90B Instruct vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 8.7% higher average benchmark score. Llama 3.2 90B Instruct offers 116.7K more tokens in context window than Qwen2.5 72B Instruct. Both models have similar pricing. Llama 3.2 90B Instruct supports multimodal inputs. Overall, Qwen2.5 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
Qwen 2.5 72B was developed as the flagship text model in the Qwen 2.5 series, designed to provide advanced language capabilities with 72 billion parameters. Built to compete with frontier models in reasoning, coding, and general language tasks, it represents Qwen's most capable instruction-following model in this generation.
6 days newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Llama 3.2 90B Instruct
Meta
2024-09-25
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40
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Qwen2.5 72B Instruct
Input:$0.35
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Llama 3.2 90B Instruct
Average Score:57.4%
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Qwen2.5 72B Instruct
Average Score:66.0%(+8.7%)
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:57.4%
Providers:5
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Qwen2.5 72B Instruct
Avg Score:66.0%(+8.7%)
Providers:4