Model Comparison

DeepSeek R1 Distill Llama 70B vs Gemma 3 1BWhich is better in 2026?

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

Verdict: DeepSeek R1 Distill Llama 70B vs Gemma 3 1B — which is better?

DeepSeek R1 Distill Llama 70B (by DeepSeek) and Gemma 3 1B (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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.

Choose DeepSeek R1 Distill Llama 70B if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

Choose Gemma 3 1B if…

  • you want the most recent training data — it shipped Mar 2025
Want to compare interactively?Try the playground

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.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

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
Sat Jun 13 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

1.4 years ago

Gemma 3 1B

Mar 12, 2025

1.3 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

Notice missing or incorrect data?Start an Issue discussion→

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

No standout differentiators in the data we have for this pair.

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.

Which is better, DeepSeek R1 Distill Llama 70B or 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.

How does DeepSeek R1 Distill Llama 70B compare to Gemma 3 1B in benchmarks?

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%.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and Gemma 3 1B?

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.

What are the main differences between DeepSeek R1 Distill Llama 70B and Gemma 3 1B?

Key differences include licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and Gemma 3 1B?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Gemma 3 1B is developed by Google.

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