Model Comparison

DeepSeek VL2 Tiny vs Llama 3.2 11B Instruct

Llama 3.2 11B Instruct has a slight edge in benchmark performance.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek VL2 Tiny outperforms in 2 benchmarks (DocVQA, MathVista), while Llama 3.2 11B Instruct is better at 3 benchmarks (AI2D, ChartQA, MMMU).

Llama 3.2 11B Instruct has a slight edge in benchmark performance.

Mon Apr 20 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
Mon Apr 20 2026 • llm-stats.com
DeepSeek
DeepSeek VL2 Tiny
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
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Model Size

Parameter count comparison

7.6B diff

Llama 3.2 11B Instruct has 7.6B more parameters than DeepSeek VL2 Tiny, making it 253.3% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Meta
Llama 3.2 11B Instruct
10.6Bparameters
3.0B
DeepSeek VL2 Tiny
10.6B
Llama 3.2 11B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 11B Instruct specifies input context (128,000 tokens). Only Llama 3.2 11B Instruct specifies output context (128,000 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Apr 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Tiny and Llama 3.2 11B Instruct support multimodal inputs.

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

DeepSeek VL2 Tiny

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.

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

DeepSeek VL2 Tiny

deepseek

Open weights

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Llama 3.2 11B Instruct was released on 2024-09-25.

DeepSeek VL2 Tiny is 3 months newer than Llama 3.2 11B Instruct.

DeepSeek VL2 Tiny

Dec 13, 2024

1.4 years ago

2mo newer
Llama 3.2 11B Instruct

Sep 25, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while DeepSeek VL2 Tiny's cutoff date is not specified.

We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without DeepSeek VL2 Tiny's cutoff date.

DeepSeek VL2 Tiny

—

Llama 3.2 11B Instruct

Dec 2023

Outputs Comparison

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Key Takeaways

DeepSeek
Higher DocVQA score (88.9% vs 88.4%)
Higher MathVista score (53.6% vs 51.5%)
Meta
Larger context window (128,000 tokens)
Higher AI2D score (91.1% vs 71.6%)
Higher ChartQA score (83.4% vs 81.0%)
Higher MMMU score (50.7% vs 40.7%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
Meta
Llama 3.2 11B Instruct

FAQ

Common questions about DeepSeek VL2 Tiny vs Llama 3.2 11B Instruct

Llama 3.2 11B Instruct has a slight edge in benchmark performance. DeepSeek VL2 Tiny is made by DeepSeek and Llama 3.2 11B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.
DeepSeek VL2 Tiny supports an unknown number of tokens and Llama 3.2 11B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (deepseek vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 Tiny is developed by DeepSeek and Llama 3.2 11B Instruct is developed by Meta.