Model Comparison

DeepSeek R1 Distill Llama 8B vs Gemma 3n E4B Instructed

DeepSeek R1 Distill Llama 8B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Llama 8B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3n E4B Instructed is better at 0 benchmarks.

DeepSeek R1 Distill Llama 8B significantly outperforms across most benchmarks.

Wed Apr 22 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
Wed Apr 22 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 8B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

30.0M diff

DeepSeek R1 Distill Llama 8B has 0.0B more parameters than Gemma 3n E4B Instructed, making it 0.4% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
Google
Gemma 3n E4B Instructed
8.0Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
8.0B
Gemma 3n E4B Instructed

Context Window

Maximum input and output token capacity

Only Gemma 3n E4B Instructed specifies input context (32,000 tokens). Only Gemma 3n E4B Instructed specifies output context (32,000 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B does not.

Gemma 3n E4B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Llama 8B

Text
Images
Audio
Video

Gemma 3n E4B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, 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 R1 Distill Llama 8B

MIT

Open weights

Gemma 3n E4B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Gemma 3n E4B Instructed was released on 2025-06-26.

Gemma 3n E4B Instructed is 5 months newer than DeepSeek R1 Distill Llama 8B.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.3 years ago

Gemma 3n E4B Instructed

Jun 26, 2025

10 months ago

5mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while DeepSeek R1 Distill Llama 8B'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 R1 Distill Llama 8B's cutoff date.

DeepSeek R1 Distill Llama 8B

—

Gemma 3n E4B Instructed

Jun 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Has open weights
Higher GPQA score (49.0% vs 23.7%)
Higher LiveCodeBench score (39.6% vs 13.2%)
Google
Larger context window (32,000 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 8B
Google
Gemma 3n E4B Instructed

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Gemma 3n E4B Instructed

DeepSeek R1 Distill Llama 8B significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 8B 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 R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%.
DeepSeek R1 Distill Llama 8B supports an unknown number of 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 multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Gemma 3n E4B Instructed is developed by Google.