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Claude 3 Haiku vs Phi-3.5-MoE-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 1.2% higher average benchmark score. Claude 3 Haiku supports multimodal inputs. Claude 3 Haiku is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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Anthropic
Claude 3 Haiku was created as the fastest and most affordable model in its intelligence class, processing 21K tokens per second for prompts under 32K tokens. Built for enterprise workloads requiring quick analysis of large datasets, it combines state-of-the-art vision capabilities with strong performance on industry benchmarks while prioritizing speed, affordability, and enterprise-grade security.
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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.
5 months newer
Claude 3 Haiku
Anthropic
2024-03-13
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
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Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Claude 3 Haiku
Average Score:70.7%
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Phi-3.5-MoE-instruct
Average Score:71.9%(+1.2%)
Provider Availability & Performance
Available providers and their performance metrics
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Claude 3 Haiku
3 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.5ms
Bedrock
Throughput: 104 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
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Claude 3 Haiku
Avg Score:70.7%
Providers:3
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Phi-3.5-MoE-instruct
Avg Score:71.9%(+1.2%)
Providers:0