Model Comparison

Gemma 2 9B vs DeepSeek-R1Which is better in 2026?

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

Verdict: Gemma 2 9B vs DeepSeek-R1 — which is better?

Gemma 2 9B (by Google) and DeepSeek-R1 (by DeepSeek) 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.

Choose Gemma 2 9B if…

  • you are already invested in the Google ecosystem

Choose DeepSeek-R1 if…

  • you want the most recent training data — it shipped Jan 2025

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 2 9B and DeepSeek-R1don'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
Mon Jun 29 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

2.0 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

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 2 9B and DeepSeek-R1 side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
DeepSeek-R1
Open in Playground
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.

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