Model Comparison

DeepSeek VL2 Tiny vs o1-previewWhich is better in 2026?

Comparing DeepSeek VL2 Tiny and o1-preview across benchmarks, pricing, and capabilities.

Verdict: DeepSeek VL2 Tiny vs o1-preview — which is better?

DeepSeek VL2 Tiny (by DeepSeek) and o1-preview (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek VL2 Tiny if…

  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune

Choose o1-preview if…

  • you want predictable pricing at $15.00/M input and $60.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek VL2 Tiny and o1-previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only o1-preview specifies input context (128,000 tokens). Only o1-preview specifies output context (32,768 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
OpenAI
o1-preview
Input128,000 tokens
Output32,768 tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 Tiny supports multimodal inputs, whereas o1-preview does not.

DeepSeek VL2 Tiny can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2 Tiny

Text
Images
Audio
Video

o1-preview

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while o1-preview uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek VL2 Tiny

deepseek

Open weights

o1-preview

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while o1-preview was released on 2024-09-12.

DeepSeek VL2 Tiny is 3 months newer than o1-preview.

DeepSeek VL2 Tiny

Dec 13, 2024

1.6 years ago

3mo newer
o1-preview

Sep 12, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Supports multimodal inputs
Has open weights
OpenAI
Larger context window (128,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek VL2 Tiny and o1-preview side-by-side, then vote on the output you prefer.

DeepSeek VL2 Tiny
✓ Preferred
o1-preview
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
OpenAI
o1-preview

FAQ

Common questions about DeepSeek VL2 Tiny vs o1-preview.

Which is better, DeepSeek VL2 Tiny or o1-preview?

DeepSeek VL2 Tiny (DeepSeek) and o1-preview (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek VL2 Tiny compare to o1-preview in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. o1-preview scores MGSM: 90.8%, MMLU: 90.8%, MATH: 85.5%, GPQA: 73.3%, LiveBench: 52.3%.

What are the context window sizes for DeepSeek VL2 Tiny and o1-preview?

DeepSeek VL2 Tiny supports an unknown number of tokens and o1-preview supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 Tiny and o1-preview?

Key differences include multimodal support (yes vs no), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and o1-preview?

DeepSeek VL2 Tiny is developed by DeepSeek and o1-preview is developed by OpenAI.

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