Claude 3.5 Haiku vs Phi-3.5-vision-instruct
Claude 3.5 Haiku leads the LLM Stats Score 5.3 to -3.2.
Anthropic · Microsoft · Updated for 2026
Which is better?
Claude 3.5 Haiku leads the overall LLM Stats Score 5.3 to -3.2, ranking #287 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude 3.5 Haiku
- overall performance matters — it scores 5.3 and ranks #287 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you want the most recent training data — it shipped Oct 2024
Choose Phi-3.5-vision-instruct
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
9 reported for Claude 3.5 Haiku · 9 for Phi-3.5-vision-instruct
Claude 3.5 Haiku and Phi-3.5-vision-instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Claude 3.5 Haiku specifies input context (200,000 tokens). Only Claude 3.5 Haiku specifies output context (200,000 tokens).
Input capabilities
Documented input modalities across available providers
Phi-3.5-vision-instruct supports multimodal inputs, whereas Claude 3.5 Haiku does not.
Phi-3.5-vision-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3.5 Haiku
Phi-3.5-vision-instruct
License
Usage and distribution terms
Claude 3.5 Haiku 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 3.5 Haiku was released on 2024-10-22, while Phi-3.5-vision-instruct was released on 2024-08-23.
Claude 3.5 Haiku is 2 months newer than Phi-3.5-vision-instruct.
Oct 22, 2024
1.9 years ago
2mo newerAug 23, 2024
2.0 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
Judge for yourself.
Run your own prompts against Claude 3.5 Haiku and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.5 Haiku vs Phi-3.5-vision-instruct.