The AI arena is free today

Open Superagent

DeepSeek VL2 Small vs o3

o3 leads the LLM Stats Score 31.1 to 1.4.

DeepSeek · OpenAI · Updated for 2026

Which is better?

o3 leads the overall LLM Stats Score 31.1 to 1.4, ranking #105 overall.

In the 2 individual benchmarks reported for both models, o3 wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek VL2 Small

  • you need open weights you can self-host or fine-tune

Choose o3

  • overall performance matters — it scores 31.1 and ranks #105 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Core performance indexes
1.4
#309
31.1
#105
-3.6
#326
30.8
#108
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$2.00 / M
Output price
— / M
$8.00 / M
Context window
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek VL2 Small
o3
1.1#174
21.3#60
3.8#138
25.6#42
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for DeepSeek VL2 Small · 22 for o3

2 shared

DeepSeek VL2 Small outperforms in 0 benchmarks, while o3 is better at 2 benchmarks (MathVista, MMMU).

o3 significantly outperforms across most benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only o3 specifies input context (200,000 tokens). Only o3 specifies output context (100,000 tokens).

DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
OpenAI
o3
Input200,000 tokens
Output100,000 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 Small and o3 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2 Small

Text
Images
Audio
Video

o3

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Small is licensed under deepseek, while o3 uses a proprietary license.

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

DeepSeek VL2 Small

deepseek

Open weights

o3

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Small was released on 2024-12-13, while o3 was released on 2025-04-16.

o3 is 4 months newer than DeepSeek VL2 Small.

DeepSeek VL2 Small

Dec 13, 2024

1.7 years ago

o3

Apr 16, 2025

1.4 years ago

4mo newer

Knowledge Cutoff

When training data ends

o3 has a documented knowledge cutoff of 2024-05-31, while DeepSeek VL2 Small's cutoff date is not specified.

We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek VL2 Small's cutoff date.

DeepSeek VL2 Small

o3

May 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek VL2 Small and o3 side-by-side, then vote on the output you prefer.

DeepSeek VL2 Small
✓ Preferred
o3
Open in Playground

FAQ

Common questions about DeepSeek VL2 Small vs o3.

Which is better, DeepSeek VL2 Small or o3?

o3 leads the LLM Stats Score 31.1 to 1.4. DeepSeek VL2 Small is made by DeepSeek and o3 is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek VL2 Small compare to o3 in benchmarks?

DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%. o3 scores COLLIE: 98.4%, AIME 2024: 91.6%, ARC-AGI: 88.0%, MathVista: 86.8%, AIME 2025: 86.4%.

What are the context window sizes for DeepSeek VL2 Small and o3?

DeepSeek VL2 Small supports an unknown number of tokens and o3 supports 200K 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 Small and o3?

Key differences include LLM Stats Score (1.4 vs 31.1), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Small and o3?

DeepSeek VL2 Small is developed by DeepSeek and o3 is developed by OpenAI.