Model Comparison

DeepSeek VL2 Tiny vs Gemma 3 27B

DeepSeek VL2 Tiny has a slight edge in benchmark performance.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek VL2 Tiny outperforms in 3 benchmarks (ChartQA, DocVQA, TextVQA), while Gemma 3 27B is better at 2 benchmarks (AI2D, InfoVQA).

DeepSeek VL2 Tiny has a slight edge in benchmark performance.

Thu Apr 30 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
Thu Apr 30 2026 • llm-stats.com
DeepSeek
DeepSeek VL2 Tiny
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

24.0B diff

Gemma 3 27B has 24.0B more parameters than DeepSeek VL2 Tiny, making it 800.0% larger.

DeepSeek
DeepSeek VL2 Tiny
3.0Bparameters
Google
Gemma 3 27B
27.0Bparameters
3.0B
DeepSeek VL2 Tiny
27.0B
Gemma 3 27B

Context Window

Maximum input and output token capacity

Only Gemma 3 27B specifies input context (131,072 tokens). Only Gemma 3 27B specifies output context (131,072 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Tiny and Gemma 3 27B support multimodal inputs.

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

DeepSeek VL2 Tiny

Text
Images
Audio
Video

Gemma 3 27B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Gemma 3 27B uses Gemma.

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

DeepSeek VL2 Tiny

deepseek

Open weights

Gemma 3 27B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Gemma 3 27B was released on 2025-03-12.

Gemma 3 27B is 3 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.4 years ago

Gemma 3 27B

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Higher ChartQA score (81.0% vs 78.0%)
Higher DocVQA score (88.9% vs 86.6%)
Higher TextVQA score (80.7% vs 65.1%)
Google
Larger context window (131,072 tokens)
Higher AI2D score (84.5% vs 71.6%)
Higher InfoVQA score (70.6% vs 66.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
Google
Gemma 3 27B

FAQ

Common questions about DeepSeek VL2 Tiny vs Gemma 3 27B

DeepSeek VL2 Tiny has a slight edge in benchmark performance. DeepSeek VL2 Tiny is made by DeepSeek and Gemma 3 27B is made by Google. 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%. Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%.
DeepSeek VL2 Tiny supports an unknown number of tokens and Gemma 3 27B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (deepseek vs Gemma). See the full comparison above for benchmark-by-benchmark results.
DeepSeek VL2 Tiny is developed by DeepSeek and Gemma 3 27B is developed by Google.