Claude 3.7 Sonnet vs Phi-3.5-vision-instruct Comparison
Comparing Claude 3.7 Sonnet and Phi-3.5-vision-instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3.7 Sonnet outperforms in 1 benchmarks (MMMU), while Phi-3.5-vision-instruct is better at 0 benchmarks.
Claude 3.7 Sonnet significantly outperforms across most benchmarks.
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 3.7 Sonnet specifies input context (200,000 tokens). Only Claude 3.7 Sonnet specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both Claude 3.7 Sonnet and Phi-3.5-vision-instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3.7 Sonnet
Phi-3.5-vision-instruct
License
Usage and distribution terms
Claude 3.7 Sonnet is licensed under a proprietary license, while Phi-3.5-vision-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 3.7 Sonnet was released on 2025-02-24, while Phi-3.5-vision-instruct was released on 2024-08-23.
Claude 3.7 Sonnet is 6 months newer than Phi-3.5-vision-instruct.
Feb 24, 2025
1.0 years ago
6mo newerAug 23, 2024
1.6 years ago
Knowledge 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 3.7 Sonnet
View detailsAnthropic
Phi-3.5-vision-instruct
View detailsMicrosoft
Claude 3.7 SonnetPhi-3.5-vision-instructDetailed Comparison
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