Model Comparison

DeepSeek-R1 vs Gemma 3 1B

Comparing DeepSeek-R1 and Gemma 3 1B across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Gemma 3 1B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

670.0B diff

DeepSeek-R1 has 670.0B more parameters than Gemma 3 1B, making it 67000.0% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
Google
Gemma 3 1B
1.0Bparameters
671.0B
DeepSeek-R1
1.0B
Gemma 3 1B

Context Window

Maximum input and output token capacity

Only DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Google
Gemma 3 1B
Input- tokens
Output- tokens
Wed May 06 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1 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

MIT

Open weights

Gemma 3 1B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 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.

DeepSeek-R1

Jan 20, 2025

1.3 years ago

Gemma 3 1B

Mar 12, 2025

1.2 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 (131,072 tokens)
Google

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
Google
Gemma 3 1B

FAQ

Common questions about DeepSeek-R1 vs Gemma 3 1B.

Which is better, DeepSeek-R1 or Gemma 3 1B?

DeepSeek-R1 (DeepSeek) and Gemma 3 1B (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-R1 compare to Gemma 3 1B in benchmarks?

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 and Gemma 3 1B?

DeepSeek-R1 supports 131K 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 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 and Gemma 3 1B?

DeepSeek-R1 is developed by DeepSeek and Gemma 3 1B is developed by Google.