Model Comparison
Claude 3.5 Haiku vs Qwen2.5 VL 32B Instruct
Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3.5 Haiku outperforms in 0 benchmarks, while Qwen2.5 VL 32B Instruct is better at 4 benchmarks (GPQA, HumanEval, MATH, MMLU-Pro).
Qwen2.5 VL 32B Instruct 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 3.5 Haiku specifies input context (200,000 tokens). Only Claude 3.5 Haiku specifies output context (200,000 tokens).
Input Capabilities
Supported data types and modalities
Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas Claude 3.5 Haiku does not.
Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3.5 Haiku
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
Claude 3.5 Haiku is licensed under a proprietary license, while Qwen2.5 VL 32B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Claude 3.5 Haiku was released on 2024-10-22, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Qwen2.5 VL 32B Instruct is 4 months newer than Claude 3.5 Haiku.
Oct 22, 2024
1.4 years ago
Feb 28, 2025
1.1 years ago
4mo 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 3.5 Haiku
View detailsAnthropic
Qwen2.5 VL 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Claude 3.5 Haiku vs Qwen2.5 VL 32B Instruct