Model Comparison

Gemma 2 9B vs DeepSeek-V3Which is better in 2026?

DeepSeek-V3 significantly outperforms across most benchmarks.

Verdict: Gemma 2 9B vs DeepSeek-V3 — which is better?

Gemma 2 9B (by Google) and DeepSeek-V3 (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.

Gemma 2 9B outperforms in 0 benchmarks, while DeepSeek-V3 is better at 1 benchmark (MMLU). DeepSeek-V3 significantly outperforms across most benchmarks.

Choose Gemma 2 9B if…

  • you are already invested in the Google ecosystem

Choose DeepSeek-V3 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Dec 2024

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 2 9B outperforms in 0 benchmarks, while DeepSeek-V3 is better at 1 benchmark (MMLU).

DeepSeek-V3 significantly outperforms across most benchmarks.

Mon Jun 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

661.8B diff

DeepSeek-V3 has 661.8B more parameters than Gemma 2 9B, making it 7161.9% larger.

Google
Gemma 2 9B
9.2Bparameters
DeepSeek
DeepSeek-V3
671.0Bparameters
9.2B
Gemma 2 9B
671.0B
DeepSeek-V3

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 specifies input context (131,072 tokens). Only DeepSeek-V3 specifies output context (131,072 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V3
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-V3 uses MIT + Model License (Commercial use allowed).

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

Gemma 2 9B

Gemma

Open weights

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while DeepSeek-V3 was released on 2024-12-25.

DeepSeek-V3 is 6 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.0 years ago

DeepSeek-V3

Dec 25, 2024

1.5 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

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

Larger context window (131,072 tokens)
Higher MMLU score (88.5% vs 71.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 2 9B and DeepSeek-V3 side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
DeepSeek-V3
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 2 9B
DeepSeek
DeepSeek-V3

FAQ

Common questions about Gemma 2 9B vs DeepSeek-V3.

Which is better, Gemma 2 9B or DeepSeek-V3?

DeepSeek-V3 significantly outperforms across most benchmarks. Gemma 2 9B is made by Google and DeepSeek-V3 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 2 9B compare to DeepSeek-V3 in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%.

What are the context window sizes for Gemma 2 9B and DeepSeek-V3?

Gemma 2 9B supports an unknown number of tokens and DeepSeek-V3 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-V3?

Key differences include licensing (Gemma vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and DeepSeek-V3?

Gemma 2 9B is developed by Google and DeepSeek-V3 is developed by DeepSeek.