Model Comparison

DeepSeek R1 Distill Llama 70B vs Gemma 3 1B

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

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3 1B is better at 0 benchmarks.

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

Tue Apr 21 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
Tue Apr 21 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Google
Gemma 3 1B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

69.6B diff

DeepSeek R1 Distill Llama 70B has 69.6B more parameters than Gemma 3 1B, making it 6960.0% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Google
Gemma 3 1B
1.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
1.0B
Gemma 3 1B

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Google
Gemma 3 1B
Input- tokens
Output- tokens
Tue Apr 21 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while Gemma 3 1B 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 1B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Gemma 3 1B was released on 2025-03-12.

Gemma 3 1B is 2 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.2 years ago

Gemma 3 1B

Mar 12, 2025

1.1 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

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (128,000 tokens)
Higher GPQA score (65.2% vs 19.2%)
Higher LiveCodeBench score (57.5% vs 1.9%)
Google

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 70B
Google
Gemma 3 1B

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Gemma 3 1B

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is made by DeepSeek and Gemma 3 1B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Gemma 3 1B scores IFEval: 80.2%, GSM8k: 62.8%, Natural2Code: 56.0%, MATH: 48.0%, HumanEval: 41.5%.
DeepSeek R1 Distill Llama 70B supports 128K tokens and Gemma 3 1B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Gemma 3 1B is developed by Google.