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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 41.2% higher average benchmark score. Claude 3 Haiku supports multimodal inputs. Claude 3 Haiku is available on 3 providers. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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Anthropic
Claude 3 Haiku is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 71.5% across 10 benchmarks. It excels particularly in ARC-C (89.2%), GSM8k (88.9%), HellaSwag (85.9%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Anthropic'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.
5 months newer
Claude 3 Haiku
Anthropic
2024-03-13
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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Claude 3 Haiku
Average Score:22.3%
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Phi-3.5-MoE-instruct
Average Score:63.5%(+41.2%)
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:22.3%
Providers:3
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Phi-3.5-MoE-instruct
Avg Score:63.5%(+41.2%)
Providers:0