Model Comparison

DeepSeek-V3 vs Gemma 3 4B

DeepSeek-V3 significantly outperforms across most benchmarks. Gemma 3 4B is 19.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V3 outperforms in 4 benchmarks (GPQA, LiveCodeBench, MMLU-Pro, SimpleQA), while Gemma 3 4B is better at 1 benchmark (IFEval).

DeepSeek-V3 significantly outperforms across most benchmarks.

Fri May 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 13.5x more expensive than Gemma 3 4B ($0.02/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 27.5x more expensive than Gemma 3 4B ($0.04/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than Gemma 3 4B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri May 29 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

667.0B diff

DeepSeek-V3 has 667.0B more parameters than Gemma 3 4B, making it 16675.0% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Google
Gemma 3 4B
4.0Bparameters
671.0B
DeepSeek-V3
4.0B
Gemma 3 4B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Fri May 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 4B supports multimodal inputs, whereas DeepSeek-V3 does not.

Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3

Text
Images
Audio
Video

Gemma 3 4B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Gemma 3 4B uses Gemma.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Gemma 3 4B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Gemma 3 4B was released on 2025-03-12.

Gemma 3 4B is 3 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

Gemma 3 4B

Mar 12, 2025

1.2 years ago

2mo newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while DeepSeek-V3's cutoff date is not specified.

We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without DeepSeek-V3's cutoff date.

DeepSeek-V3

—

Gemma 3 4B

Aug 2024

Provider Availability

DeepSeek-V3 is available from DeepSeek. Gemma 3 4B is available from DeepInfra.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

Gemma 3 4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Higher GPQA score (59.1% vs 30.8%)
Higher LiveCodeBench score (37.6% vs 12.6%)
Higher MMLU-Pro score (75.9% vs 43.6%)
Higher SimpleQA score (24.9% vs 4.0%)
Google
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher IFEval score (90.2% vs 86.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
Google
Gemma 3 4B

FAQ

Common questions about DeepSeek-V3 vs Gemma 3 4B.

Which is better, DeepSeek-V3 or Gemma 3 4B?

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and Gemma 3 4B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 compare to Gemma 3 4B in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%.

Is DeepSeek-V3 cheaper than Gemma 3 4B?

Gemma 3 4B is 13.5x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra.

What are the context window sizes for DeepSeek-V3 and Gemma 3 4B?

DeepSeek-V3 supports 131K tokens and Gemma 3 4B supports 131K 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 and Gemma 3 4B?

Key differences include input pricing ($0.27 vs $0.02/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Gemma 3 4B?

DeepSeek-V3 is developed by DeepSeek and Gemma 3 4B is developed by Google.