Model Comparison

DeepSeek-V3 0324 vs Gemma 3 4B

DeepSeek-V3 0324 significantly outperforms across most benchmarks. Gemma 3 4B is 19.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3 0324 outperforms in 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro), while Gemma 3 4B is better at 0 benchmarks.

DeepSeek-V3 0324 significantly outperforms across most benchmarks.

Fri May 01 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 0324 ($0.28/1M tokens) is 14.0x more expensive than Gemma 3 4B ($0.02/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 28.5x more expensive than Gemma 3 4B ($0.04/1M tokens).

In conclusion, DeepSeek-V3 0324 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 01 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
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 0324 has 667.0B more parameters than Gemma 3 4B, making it 16675.0% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Google
Gemma 3 4B
4.0Bparameters
671.0B
DeepSeek-V3 0324
4.0B
Gemma 3 4B

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to Gemma 3 4B's 131,072 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Gemma 3 4B is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 4B supports multimodal inputs, whereas DeepSeek-V3 0324 does not.

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

DeepSeek-V3 0324

Text
Images
Audio
Video

Gemma 3 4B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 0324 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 0324

MIT + Model License (Commercial use allowed)

Open weights

Gemma 3 4B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Gemma 3 4B was released on 2025-03-12.

DeepSeek-V3 0324 is 0 month newer than Gemma 3 4B.

DeepSeek-V3 0324

Mar 25, 2025

1.1 years ago

1w newer
Gemma 3 4B

Mar 12, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while DeepSeek-V3 0324'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 0324's cutoff date.

DeepSeek-V3 0324

—

Gemma 3 4B

Aug 2024

Provider Availability

DeepSeek-V3 0324 is available from Novita. Gemma 3 4B is available from DeepInfra.

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

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
Larger context window (163,840 tokens)
Higher GPQA score (68.4% vs 30.8%)
Higher LiveCodeBench score (49.2% vs 12.6%)
Higher MMLU-Pro score (81.2% vs 43.6%)
Google
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Google
Gemma 3 4B

FAQ

Common questions about DeepSeek-V3 0324 vs Gemma 3 4B

DeepSeek-V3 0324 significantly outperforms across most benchmarks. DeepSeek-V3 0324 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.
DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%.
Gemma 3 4B is 14.0x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra.
DeepSeek-V3 0324 supports 164K tokens and Gemma 3 4B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (164K vs 131K), input pricing ($0.28 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.
DeepSeek-V3 0324 is developed by DeepSeek and Gemma 3 4B is developed by Google.