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Llama 3.1 405B Instruct vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 13.8% higher average benchmark score. Llama 3.1 405B Instruct is available on 8 providers. Overall, Llama 3.1 405B Instruct is the stronger choice for coding tasks.
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Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
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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
Llama 3.1 405B Instruct
Meta
2024-07-23
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
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Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Llama 3.1 405B Instruct
Average Score:81.1%(+13.8%)
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Phi-3.5-MoE-instruct
Average Score:67.3%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 405B Instruct
8 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 27 tok/s
Latency: 0.5ms
Fireworks
Throughput: 78 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
Hyperbolic
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Llama 3.1 405B Instruct
Avg Score:81.1%(+13.8%)
Providers:8
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Phi-3.5-MoE-instruct
Avg Score:67.3%
Providers:0