Model Comparison

DeepSeek VL2 vs Llama 3.2 11B Instruct

DeepSeek VL2 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek VL2 outperforms in 4 benchmarks (ChartQA, DocVQA, MathVista, MMMU), while Llama 3.2 11B Instruct is better at 1 benchmark (AI2D).

DeepSeek VL2 significantly outperforms across most benchmarks.

Fri May 01 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
Fri May 01 2026 • llm-stats.com
DeepSeek
DeepSeek VL2
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
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

16.4B diff

DeepSeek VL2 has 16.4B more parameters than Llama 3.2 11B Instruct, making it 154.7% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Meta
Llama 3.2 11B Instruct
10.6Bparameters
27.0B
DeepSeek VL2
10.6B
Llama 3.2 11B Instruct

Context Window

Maximum input and output token capacity

DeepSeek VL2 accepts 129,280 input tokens compared to Llama 3.2 11B Instruct's 128,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Llama 3.2 11B Instruct is limited to 128,000 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 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

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 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

deepseek

Open weights

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

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

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

DeepSeek VL2

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'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's cutoff date.

DeepSeek VL2

—

Llama 3.2 11B Instruct

Dec 2023

Provider Availability

DeepSeek VL2 is available from Replicate. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks.

DeepSeek VL2

replicate logo
Replicate

Llama 3.2 11B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
sambanova logo
Sambanova
Input Price:Input: $0.15/1MOutput Price:Output: $0.30/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.16/1MOutput Price:Output: $0.16/1M
groq logo
Groq
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (129,280 tokens)
Higher ChartQA score (86.0% vs 83.4%)
Higher DocVQA score (93.3% vs 88.4%)
Higher MathVista score (62.8% vs 51.5%)
Higher MMMU score (51.1% vs 50.7%)
Meta
Higher AI2D score (91.1% vs 81.4%)

Detailed Comparison

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

FAQ

Common questions about DeepSeek VL2 vs Llama 3.2 11B Instruct

DeepSeek VL2 significantly outperforms across most benchmarks. DeepSeek VL2 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 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.
DeepSeek VL2 supports 129K 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 context window (129K vs 128K), licensing (deepseek vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 is developed by DeepSeek and Llama 3.2 11B Instruct is developed by Meta.