Model Comparison

DeepSeek VL2 vs Gemma 3 12B

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, InfoVQA, TextVQA), while Gemma 3 12B 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
Google
Gemma 3 12B
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

15.0B diff

DeepSeek VL2 has 15.0B more parameters than Gemma 3 12B, making it 125.0% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Google
Gemma 3 12B
12.0Bparameters
27.0B
DeepSeek VL2
12.0B
Gemma 3 12B

Context Window

Maximum input and output token capacity

Gemma 3 12B accepts 131,072 input tokens compared to DeepSeek VL2's 129,280 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while DeepSeek VL2 is limited to 129,280 tokens.

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 and Gemma 3 12B support multimodal inputs.

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

DeepSeek VL2

Text
Images
Audio
Video

Gemma 3 12B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Gemma 3 12B uses Gemma.

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

DeepSeek VL2

deepseek

Open weights

Gemma 3 12B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Gemma 3 12B was released on 2025-03-12.

Gemma 3 12B is 3 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.4 years ago

Gemma 3 12B

Mar 12, 2025

1.1 years ago

2mo newer

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. Gemma 3 12B is available from DeepInfra.

DeepSeek VL2

replicate logo
Replicate

Gemma 3 12B

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Higher ChartQA score (86.0% vs 75.7%)
Higher DocVQA score (93.3% vs 87.1%)
Higher InfoVQA score (78.1% vs 64.9%)
Higher TextVQA score (84.2% vs 67.7%)
Google
Larger context window (131,072 tokens)
Higher AI2D score (84.2% vs 81.4%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2
Google
Gemma 3 12B

FAQ

Common questions about DeepSeek VL2 vs Gemma 3 12B

DeepSeek VL2 significantly outperforms across most benchmarks. DeepSeek VL2 is made by DeepSeek and Gemma 3 12B is made by Google. 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%. Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%.
DeepSeek VL2 supports 129K tokens and Gemma 3 12B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (129K vs 131K), licensing (deepseek vs Gemma). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 is developed by DeepSeek and Gemma 3 12B is developed by Google.