Model Comparison

o1 vs DeepSeek VL2 Tiny

o1 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

o1 outperforms in 2 benchmarks (MathVista, MMMU), while DeepSeek VL2 Tiny is better at 0 benchmarks.

o1 significantly outperforms across most benchmarks.

Sun May 31 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only o1 specifies input context (200,000 tokens). Only o1 specifies output context (100,000 tokens).

OpenAI
o1
Input200,000 tokens
Output100,000 tokens
DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Sun May 31 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

o1

Text
Images
Audio
Video

DeepSeek VL2 Tiny

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

o1

Proprietary

Closed source

DeepSeek VL2 Tiny

deepseek

Open weights

Release Timeline

When each model was launched

o1 was released on 2024-12-17, while DeepSeek VL2 Tiny was released on 2024-12-13.

o1 is 0 month newer than DeepSeek VL2 Tiny.

o1

Dec 17, 2024

1.5 years ago

4d newer
DeepSeek VL2 Tiny

Dec 13, 2024

1.5 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

OpenAI
Larger context window (200,000 tokens)
Higher MathVista score (71.8% vs 53.6%)
Higher MMMU score (77.6% vs 40.7%)
DeepSeek
Supports multimodal inputs
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o1
DeepSeek
DeepSeek VL2 Tiny

FAQ

Common questions about o1 vs DeepSeek VL2 Tiny.

Which is better, o1 or DeepSeek VL2 Tiny?

o1 significantly outperforms across most benchmarks. o1 is made by OpenAI and DeepSeek VL2 Tiny is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does o1 compare to DeepSeek VL2 Tiny in benchmarks?

o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%. DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%.

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

o1 supports 200K tokens and DeepSeek VL2 Tiny supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

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

Who makes o1 and DeepSeek VL2 Tiny?

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