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Llama 3.2 90B Instruct vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 1.5% higher average benchmark score. Llama 3.2 90B Instruct supports multimodal inputs. 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
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
6 days newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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:66.9%
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Qwen2.5 14B Instruct
Average Score:68.4%(+1.5%)
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:66.9%
Providers:5
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Qwen2.5 14B Instruct
Avg Score:68.4%(+1.5%)
Providers:0