DeepSeek R1 Distill Llama 70B vs Gemma 3 27B Comparison

Comparing DeepSeek R1 Distill Llama 70B and Gemma 3 27B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3 27B is better at 0 benchmarks.

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.

Mon Mar 23 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 27B costs less

For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) costs the same as Gemma 3 27B ($0.10/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 2.0x more expensive than Gemma 3 27B ($0.20/1M tokens).

In conclusion, DeepSeek R1 Distill Llama 70B is more expensive than Gemma 3 27B.*

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

Lowest available price from all providers
Mon Mar 23 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
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Model Size

Parameter count comparison

43.6B diff

DeepSeek R1 Distill Llama 70B has 43.6B more parameters than Gemma 3 27B, making it 161.5% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Google
Gemma 3 27B
27.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
27.0B
Gemma 3 27B

Context Window

Maximum input and output token capacity

Gemma 3 27B accepts 131,072 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. Gemma 3 27B can generate longer responses up to 131,072 tokens, while DeepSeek R1 Distill Llama 70B is limited to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Mon Mar 23 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.

Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Llama 70B

Text
Images
Audio
Video

Gemma 3 27B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while Gemma 3 27B uses Gemma.

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

DeepSeek R1 Distill Llama 70B

MIT

Open weights

Gemma 3 27B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Gemma 3 27B was released on 2025-03-12.

Gemma 3 27B is 2 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.2 years ago

Gemma 3 27B

Mar 12, 2025

1.0 years ago

1mo 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

Provider Availability

DeepSeek R1 Distill Llama 70B is available from DeepInfra. Gemma 3 27B is available from DeepInfra, Novita. The availability of providers can affect quality of the model and reliability.

DeepSeek R1 Distill Llama 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Gemma 3 27B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
novita logo
Novita
Input Price:Input: $0.11/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher GPQA score (65.2% vs 42.4%)
Higher LiveCodeBench score (57.5% vs 29.7%)
Larger context window (131,072 tokens)
Supports multimodal inputs
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 70B
Google
Gemma 3 27B