Model Comparison

DeepSeek-V3 0324 vs Gemma 3 1BWhich is better in 2026?

DeepSeek-V3 0324 significantly outperforms across most benchmarks.

Verdict: DeepSeek-V3 0324 vs Gemma 3 1B — which is better?

DeepSeek-V3 0324 (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-V3 0324 outperforms in 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro), while Gemma 3 1B is better at 0 benchmarks. DeepSeek-V3 0324 significantly outperforms across most benchmarks.

Choose DeepSeek-V3 0324 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Mar 2025

Choose Gemma 3 1B if…

  • you are already invested in the Google ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3 0324 outperforms in 3 benchmarks (GPQA, LiveCodeBench, MMLU-Pro), while Gemma 3 1B is better at 0 benchmarks.

DeepSeek-V3 0324 significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

670.0B diff

DeepSeek-V3 0324 has 670.0B more parameters than Gemma 3 1B, making it 67000.0% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Google
Gemma 3 1B
1.0Bparameters
671.0B
DeepSeek-V3 0324
1.0B
Gemma 3 1B

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Google
Gemma 3 1B
Input- tokens
Output- tokens
Sat Jul 18 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Gemma 3 1B uses Gemma.

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Gemma 3 1B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Gemma 3 1B was released on 2025-03-12.

DeepSeek-V3 0324 is 0 month newer than Gemma 3 1B.

DeepSeek-V3 0324

Mar 25, 2025

1.3 years ago

1w newer
Gemma 3 1B

Mar 12, 2025

1.4 years ago

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

Larger context window (163,840 tokens)
Higher GPQA score (68.4% vs 19.2%)
Higher LiveCodeBench score (49.2% vs 1.9%)
Higher MMLU-Pro score (81.2% vs 14.7%)

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

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3 0324 and Gemma 3 1B side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
Gemma 3 1B
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Google
Gemma 3 1B

FAQ

Common questions about DeepSeek-V3 0324 vs Gemma 3 1B.

Which is better, DeepSeek-V3 0324 or Gemma 3 1B?

DeepSeek-V3 0324 significantly outperforms across most benchmarks. DeepSeek-V3 0324 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-V3 0324 compare to Gemma 3 1B in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. 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-V3 0324 and Gemma 3 1B?

DeepSeek-V3 0324 supports 164K 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-V3 0324 and Gemma 3 1B?

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

Who makes DeepSeek-V3 0324 and Gemma 3 1B?

DeepSeek-V3 0324 is developed by DeepSeek and Gemma 3 1B is developed by Google.