Model Comparison

DeepSeek-V3 0324 vs Gemma 3n E4B Instructed

DeepSeek-V3 0324 significantly outperforms across most benchmarks. DeepSeek-V3 0324 is 50.5x 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 3n E4B Instructed is better at 0 benchmarks.

DeepSeek-V3 0324 significantly outperforms across most benchmarks.

Fri Apr 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 0324 costs less

For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 71.4x cheaper than Gemma 3n E4B Instructed ($20.00/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 35.1x cheaper than Gemma 3n E4B Instructed ($40.00/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than DeepSeek-V3 0324.*

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

Lowest available price from all providers
Fri Apr 10 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
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Model Size

Parameter count comparison

663.0B diff

DeepSeek-V3 0324 has 663.0B more parameters than Gemma 3n E4B Instructed, making it 8287.5% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Google
Gemma 3n E4B Instructed
8.0Bparameters
671.0B
DeepSeek-V3 0324
8.0B
Gemma 3n E4B Instructed

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Fri Apr 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed supports multimodal inputs, whereas DeepSeek-V3 0324 does not.

Gemma 3n E4B Instructed 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 3n E4B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Gemma 3n E4B Instructed uses a proprietary license.

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 3n E4B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Gemma 3n E4B Instructed was released on 2025-06-26.

Gemma 3n E4B Instructed is 3 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.0 years ago

Gemma 3n E4B Instructed

Jun 26, 2025

9 months ago

3mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V3 0324's cutoff date is not specified.

We can confirm Gemma 3n E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-V3 0324's cutoff date.

DeepSeek-V3 0324

—

Gemma 3n E4B Instructed

Jun 2024

Provider Availability

DeepSeek-V3 0324 is available from Novita. Gemma 3n E4B Instructed is available from Together.

DeepSeek-V3 0324

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

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (68.4% vs 23.7%)
Higher LiveCodeBench score (49.2% vs 13.2%)
Higher MMLU-Pro score (81.2% vs 50.6%)
Google
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Google
Gemma 3n E4B Instructed

FAQ

Common questions about DeepSeek-V3 0324 vs Gemma 3n E4B Instructed

DeepSeek-V3 0324 significantly outperforms across most benchmarks. DeepSeek-V3 0324 is made by DeepSeek and Gemma 3n E4B Instructed 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 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%.
DeepSeek-V3 0324 is 71.4x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together.
DeepSeek-V3 0324 supports 164K tokens and Gemma 3n E4B Instructed supports 32K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (164K vs 32K), input pricing ($0.28 vs $20.00/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 0324 is developed by DeepSeek and Gemma 3n E4B Instructed is developed by Google.