Claude 3 Haiku vs Phi-3.5-MoE-instruct Comparison
Comparing Claude 3 Haiku and Phi-3.5-MoE-instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3 Haiku outperforms in 4 benchmarks (GSM8k, HellaSwag, HumanEval, MGSM), while Phi-3.5-MoE-instruct is better at 5 benchmarks (ARC-C, BIG-Bench Hard, GPQA, MATH, MMLU).
Phi-3.5-MoE-instruct has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only Claude 3 Haiku specifies input context (200,000 tokens). Only Claude 3 Haiku specifies output context (200,000 tokens).
Input Capabilities
Supported data types and modalities
Claude 3 Haiku supports multimodal inputs, whereas Phi-3.5-MoE-instruct does not.
Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3 Haiku
Phi-3.5-MoE-instruct
License
Usage and distribution terms
Claude 3 Haiku is licensed under a proprietary license, while Phi-3.5-MoE-instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude 3 Haiku was released on 2024-03-13, while Phi-3.5-MoE-instruct was released on 2024-08-23.
Phi-3.5-MoE-instruct is 5 months newer than Claude 3 Haiku.
Mar 13, 2024
2.0 years ago
Aug 23, 2024
1.6 years ago
5mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Claude 3 Haiku
View detailsAnthropic
Phi-3.5-MoE-instruct
View detailsMicrosoft
Detailed Comparison
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