Model Comparison

Gemma 2 9B vs DeepSeek-R1

Comparing Gemma 2 9B and DeepSeek-R1 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 2 9B and DeepSeek-R1 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

661.8B diff

DeepSeek-R1 has 661.8B more parameters than Gemma 2 9B, making it 7161.9% larger.

Google
Gemma 2 9B
9.2Bparameters
DeepSeek
DeepSeek-R1
671.0Bparameters
9.2B
Gemma 2 9B
671.0B
DeepSeek-R1

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).

Google
Gemma 2 9B
Input- tokens
Output- tokens
DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Sat May 30 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while DeepSeek-R1 uses MIT.

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

Gemma 2 9B

Gemma

Open weights

DeepSeek-R1

MIT

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while DeepSeek-R1 was released on 2025-01-20.

DeepSeek-R1 is 7 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

1.9 years ago

DeepSeek-R1

Jan 20, 2025

1.4 years ago

6mo 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

Google

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

DeepSeek
Larger context window (131,072 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 9B
DeepSeek
DeepSeek-R1

FAQ

Common questions about Gemma 2 9B vs DeepSeek-R1.

Which is better, Gemma 2 9B or DeepSeek-R1?

Gemma 2 9B (Google) and DeepSeek-R1 (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 2 9B compare to DeepSeek-R1 in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%.

What are the context window sizes for Gemma 2 9B and DeepSeek-R1?

Gemma 2 9B supports an unknown number of tokens and DeepSeek-R1 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 2 9B and DeepSeek-R1?

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

Who makes Gemma 2 9B and DeepSeek-R1?

Gemma 2 9B is developed by Google and DeepSeek-R1 is developed by DeepSeek.