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Llama 3.2 90B Instruct vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 13.4% higher average benchmark score. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, Llama 3.2 90B 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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Microsoft
Phi-3.5 MoE was created using a mixture-of-experts architecture, designed to provide enhanced capabilities while maintaining efficiency through sparse activation. Built to combine the benefits of larger models with practical computational requirements, it represents Microsoft's exploration of efficient scaling techniques.
1 month newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Llama 3.2 90B Instruct
Meta
2024-09-25
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Llama 3.2 90B Instruct
Average Score:71.9%(+13.4%)
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Phi-3.5-MoE-instruct
Average Score:58.5%
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:71.9%(+13.4%)
Providers:5
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Phi-3.5-MoE-instruct
Avg Score:58.5%
Providers:0