Model Comparison

o1 vs DeepSeek VL2

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 is better at 0 benchmarks.

o1 significantly outperforms across most benchmarks.

Sat May 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat May 02 2026 • llm-stats.com
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
DeepSeek
DeepSeek VL2
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o1 accepts 200,000 input tokens compared to DeepSeek VL2's 129,280 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while o1 is limited to 100,000 tokens.

OpenAI
o1
Input200,000 tokens
Output100,000 tokens
DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas o1 does not.

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

o1

Text
Images
Audio
Video

DeepSeek VL2

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

o1

Proprietary

Closed source

DeepSeek VL2

deepseek

Open weights

Release Timeline

When each model was launched

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

o1 is 0 month newer than DeepSeek VL2.

o1

Dec 17, 2024

1.4 years ago

4d newer
DeepSeek VL2

Dec 13, 2024

1.4 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

Provider Availability

o1 is available from Azure, OpenAI. DeepSeek VL2 is available from Replicate.

o1

azure logo
Azure
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M

DeepSeek VL2

replicate logo
Replicate
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (200,000 tokens)
Higher MathVista score (71.8% vs 62.8%)
Higher MMMU score (77.6% vs 51.1%)
DeepSeek
Supports multimodal inputs
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o1
DeepSeek
DeepSeek VL2

FAQ

Common questions about o1 vs DeepSeek VL2

o1 significantly outperforms across most benchmarks. o1 is made by OpenAI and DeepSeek VL2 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%. DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%.
o1 supports 200K tokens and DeepSeek VL2 supports 129K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 129K), multimodal support (no vs yes), licensing (Proprietary vs deepseek). See the full comparison above for benchmark-by-benchmark results.
o1 is developed by OpenAI and DeepSeek VL2 is developed by DeepSeek.