Model Comparison

Gemini 3 Flash vs Gemma 3 1BWhich is better in 2026?

Gemini 3 Flash significantly outperforms across most benchmarks.

Verdict: Gemini 3 Flash vs Gemma 3 1B — which is better?

Gemini 3 Flash (by Google) 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.

Gemini 3 Flash outperforms in 3 benchmarks (FACTS Grounding, GPQA, SimpleQA), while Gemma 3 1B is better at 0 benchmarks. Gemini 3 Flash significantly outperforms across most benchmarks.

Choose Gemini 3 Flash if…

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

Choose Gemma 3 1B if…

  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 3 Flash outperforms in 3 benchmarks (FACTS Grounding, GPQA, SimpleQA), while Gemma 3 1B is better at 0 benchmarks.

Gemini 3 Flash significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 3 Flash specifies input context (1,000,000 tokens). Only Gemini 3 Flash specifies output context (65,536 tokens).

Google
Gemini 3 Flash
Input1,000,000 tokens
Output65,536 tokens
Google
Gemma 3 1B
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Flash supports multimodal inputs, whereas Gemma 3 1B does not.

Gemini 3 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3 Flash

Text
Images
Audio
Video

Gemma 3 1B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Flash is licensed under a proprietary license, while Gemma 3 1B uses Gemma.

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

Gemini 3 Flash

Proprietary

Closed source

Gemma 3 1B

Gemma

Open weights

Release Timeline

When each model was launched

Gemini 3 Flash was released on 2025-12-17, while Gemma 3 1B was released on 2025-03-12.

Gemini 3 Flash is 9 months newer than Gemma 3 1B.

Gemini 3 Flash

Dec 17, 2025

5 months ago

9mo newer
Gemma 3 1B

Mar 12, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Gemini 3 Flash has a documented knowledge cutoff of 2025-01-31, while Gemma 3 1B's cutoff date is not specified.

We can confirm Gemini 3 Flash's training data extends to 2025-01-31, but cannot make a direct comparison without Gemma 3 1B's cutoff date.

Gemini 3 Flash

Jan 2025

Gemma 3 1B

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Outputs Comparison

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Key Takeaways

Google
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher FACTS Grounding score (61.9% vs 36.4%)
Higher GPQA score (90.4% vs 19.2%)
Higher SimpleQA score (68.7% vs 2.2%)
Google
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Flash
Google
Gemma 3 1B

FAQ

Common questions about Gemini 3 Flash vs Gemma 3 1B.

Which is better, Gemini 3 Flash or Gemma 3 1B?

Gemini 3 Flash significantly outperforms across most benchmarks. Gemini 3 Flash is made by Google 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 Gemini 3 Flash compare to Gemma 3 1B in benchmarks?

Gemini 3 Flash scores Vending-Bench 2: 100.0%, AIME 2025: 99.7%, Global PIQA: 92.8%, MMMLU: 91.8%, GPQA: 90.4%. 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 Gemini 3 Flash and Gemma 3 1B?

Gemini 3 Flash supports 1.0M 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 Gemini 3 Flash and Gemma 3 1B?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Gemma). See the full comparison above for benchmark-by-benchmark results.

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