Model Comparison

DeepSeek VL2 vs Nova ProWhich is better in 2026?

Nova Pro shows notably better performance in the majority of benchmarks.

Verdict: DeepSeek VL2 vs Nova Pro — which is better?

DeepSeek VL2 (by DeepSeek) and Nova Pro (by Amazon) 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.

DeepSeek VL2 outperforms in 1 benchmarks (TextVQA), while Nova Pro is better at 3 benchmarks (ChartQA, DocVQA, MMMU). Nova Pro shows notably better performance in the majority of benchmarks.

Nova Pro also accepts a larger context window (300,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek VL2 if…

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

Choose Nova Pro if…

  • you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
  • you process long inputs — it offers a 300,000 token context window
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek VL2 outperforms in 1 benchmarks (TextVQA), while Nova Pro is better at 3 benchmarks (ChartQA, DocVQA, MMMU).

Nova Pro shows notably better performance in the majority of benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Nova Pro accepts 300,000 input tokens compared to DeepSeek VL2's 129,280 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while DeepSeek VL2 is limited to 129,280 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and Nova Pro support multimodal inputs.

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

DeepSeek VL2

Text
Images
Audio
Video

Nova Pro

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

DeepSeek VL2

deepseek

Open weights

Nova Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Nova Pro was released on 2024-11-20.

DeepSeek VL2 is 1 month newer than Nova Pro.

DeepSeek VL2

Dec 13, 2024

1.5 years ago

3w newer
Nova Pro

Nov 20, 2024

1.6 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

DeepSeek VL2 is available from Replicate. Nova Pro is available from Bedrock.

DeepSeek VL2

replicate logo
Replicate

Nova Pro

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $3.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Has open weights
Higher TextVQA score (84.2% vs 81.5%)
Amazon
Larger context window (300,000 tokens)
Higher ChartQA score (89.2% vs 86.0%)
Higher DocVQA score (93.5% vs 93.3%)
Higher MMMU score (61.7% vs 51.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Amazon
Nova Pro

FAQ

Common questions about DeepSeek VL2 vs Nova Pro.

Which is better, DeepSeek VL2 or Nova Pro?

Nova Pro shows notably better performance in the majority of benchmarks. DeepSeek VL2 is made by DeepSeek and Nova Pro is made by Amazon. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek VL2 compare to Nova Pro in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%.

What are the context window sizes for DeepSeek VL2 and Nova Pro?

DeepSeek VL2 supports 129K tokens and Nova Pro supports 300K 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 and Nova Pro?

Key differences include context window (129K vs 300K), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Nova Pro?

DeepSeek VL2 is developed by DeepSeek and Nova Pro is developed by Amazon.

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