Claude 3.5 Haiku vs DeepSeek VL2 Small
Claude 3.5 Haiku and DeepSeek VL2 Small are closely matched at 5.4 and 1.5 on the LLM Stats Score.
Anthropic · DeepSeek · Updated for 2026
Which is better?
Claude 3.5 Haiku and DeepSeek VL2 Small are closely matched on the overall LLM Stats Score at 5.4 and 1.5.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude 3.5 Haiku
- your work emphasizes reasoning — it leads those capability indexes
Choose DeepSeek VL2 Small
- you want the most recent training data — it shipped Dec 2024
- 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 · 14 for DeepSeek VL2 Small
Claude 3.5 Haiku and DeepSeek VL2 Smalldon'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
DeepSeek VL2 Small supports multimodal inputs, whereas Claude 3.5 Haiku does not.
DeepSeek VL2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3.5 Haiku
DeepSeek VL2 Small
License
Usage and distribution terms
Claude 3.5 Haiku is licensed under a proprietary license, while DeepSeek VL2 Small uses deepseek.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
deepseek
Open weights
Release Timeline
When each model was launched
Claude 3.5 Haiku was released on 2024-10-22, while DeepSeek VL2 Small was released on 2024-12-13.
DeepSeek VL2 Small is 2 months newer than Claude 3.5 Haiku.
Oct 22, 2024
1.9 years ago
Dec 13, 2024
1.7 years ago
1mo newerKnowledge 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 DeepSeek VL2 Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.5 Haiku vs DeepSeek VL2 Small.