Model Comparison

DeepSeek-V3 0324 vs DeepSeek VL2

Comparing DeepSeek-V3 0324 and DeepSeek VL2 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3 0324 and DeepSeek VL2 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

644.0B diff

DeepSeek-V3 0324 has 644.0B more parameters than DeepSeek VL2, making it 2385.2% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
DeepSeek
DeepSeek VL2
27.0Bparameters
671.0B
DeepSeek-V3 0324
27.0B
DeepSeek VL2

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to DeepSeek VL2's 129,280 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while DeepSeek VL2 is limited to 129,280 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek VL2 supports multimodal inputs, whereas DeepSeek-V3 0324 does not.

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

DeepSeek-V3 0324

Text
Images
Audio
Video

DeepSeek VL2

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while DeepSeek VL2 uses deepseek.

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

DeepSeek VL2

deepseek

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while DeepSeek VL2 was released on 2024-12-13.

DeepSeek-V3 0324 is 3 months newer than DeepSeek VL2.

DeepSeek-V3 0324

Mar 25, 2025

1.1 years ago

3mo 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

DeepSeek-V3 0324 is available from Novita. DeepSeek VL2 is available from Replicate.

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

DeepSeek VL2

replicate logo
Replicate
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
DeepSeek
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
DeepSeek
DeepSeek VL2

FAQ

Common questions about DeepSeek-V3 0324 vs DeepSeek VL2.

Which is better, DeepSeek-V3 0324 or DeepSeek VL2?

DeepSeek-V3 0324 (DeepSeek) and DeepSeek VL2 (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V3 0324 compare to DeepSeek VL2 in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. 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 DeepSeek-V3 0324 and DeepSeek VL2?

DeepSeek-V3 0324 supports 164K 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 DeepSeek-V3 0324 and DeepSeek VL2?

Key differences include context window (164K vs 129K), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs deepseek). See the full comparison above for benchmark-by-benchmark results.