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Llama 3.1 405B Instruct vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 14.4% higher average benchmark score. Llama 3.1 405B Instruct is available on 8 providers. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
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Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
1 month newer
Llama 3.1 405B Instruct
Meta
2024-07-23
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Performance Metrics
Context window and performance specifications
Average performance across 42 common benchmarks
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Llama 3.1 405B Instruct
Average Score:33.9%
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Phi-3.5-MoE-instruct
Average Score:48.4%(+14.4%)
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:33.9%
Providers:8
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Phi-3.5-MoE-instruct
Avg Score:48.4%(+14.4%)
Providers:0