The AI arena is free today

Open Superagent

Atria Dawn Preview vs DeepSeek VL2

Atria Dawn Preview leads the LLM Stats Score 52.3 to 2.9.

Shanghai AI Laboratory · DeepSeek · Updated for 2026

Which is better?

Atria Dawn Preview leads the overall LLM Stats Score 52.3 to 2.9, ranking #10 overall.

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

Choose Atria Dawn Preview

  • overall performance matters — it scores 52.3 and ranks #10 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose DeepSeek VL2

  • you are already invested in the DeepSeek ecosystem

At a glance

The differences that matter most.

Core performance indexes
52.3
#10
2.9
#311
50.5
#12
-1.9
#329
Cost, coverage & limits
Benchmark wins
Input price
— / M
— / M
Output price
— / M
— / M
Context window
129,280

Individual benchmarks

12 reported for Atria Dawn Preview · 14 for DeepSeek VL2

No common benchmarks found

Atria Dawn Preview and DeepSeek VL2don'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

Model Size

Parameter count comparison

717.0B diff

Atria Dawn Preview has 717.0B more parameters than DeepSeek VL2, making it 2655.6% larger.

Shanghai AI Laboratory
Atria Dawn Preview
744.0Bparameters
DeepSeek
DeepSeek VL2
27.0Bparameters
744.0B
Atria Dawn Preview
27.0B
DeepSeek VL2

Context Window

Maximum input and output token capacity

Only DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).

Shanghai AI Laboratory
Atria Dawn Preview
Input- tokens
Output- tokens
DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Tue Sep 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek VL2 supports multimodal inputs, whereas Atria Dawn Preview does not.

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

Atria Dawn Preview

Text
Images
Audio
Video

DeepSeek VL2

Text
Images
Audio
Video

License

Usage and distribution terms

Atria Dawn Preview is licensed under MIT, while DeepSeek VL2 uses deepseek.

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

Atria Dawn Preview

MIT

Open weights

DeepSeek VL2

deepseek

Open weights

Release Timeline

When each model was launched

Atria Dawn Preview was released on 2026-09-11, while DeepSeek VL2 was released on 2024-12-13.

Atria Dawn Preview is 21 months newer than DeepSeek VL2.

Atria Dawn Preview

Sep 11, 2026

4 days ago

1.7yr newer
DeepSeek VL2

Dec 13, 2024

1.8 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

Judge for yourself.

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

Atria Dawn Preview
✓ Preferred
DeepSeek VL2
Open in Playground

FAQ

Common questions about Atria Dawn Preview vs DeepSeek VL2.

Which is better, Atria Dawn Preview or DeepSeek VL2?

Atria Dawn Preview leads the LLM Stats Score 52.3 to 2.9. Atria Dawn Preview is made by Shanghai AI Laboratory and DeepSeek VL2 is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Atria Dawn Preview compare to DeepSeek VL2 in benchmarks?

Atria Dawn Preview scores DeepSearchQA: 96.0%, BrowseComp: 92.5%, CyberGym: 86.5%, MLE-Bench Lite: 86.2%, WideSearch: 81.9%. DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%.

What are the context window sizes for Atria Dawn Preview and DeepSeek VL2?

Atria Dawn Preview supports an unknown number of tokens and DeepSeek VL2 supports 129K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Atria Dawn Preview and DeepSeek VL2?

Key differences include LLM Stats Score (52.3 vs 2.9), multimodal support (no vs yes), licensing (MIT vs deepseek). See the full comparison above for benchmark-by-benchmark results.

Who makes Atria Dawn Preview and DeepSeek VL2?

Atria Dawn Preview is developed by Shanghai AI Laboratory and DeepSeek VL2 is developed by DeepSeek.