Model Comparison

Gemini 1.5 Flash 8B vs Gemma 3 1BWhich is better in 2026?

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

Verdict: Gemini 1.5 Flash 8B vs Gemma 3 1B — which is better?

Gemini 1.5 Flash 8B (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 1.5 Flash 8B outperforms in 5 benchmarks (GPQA, HiddenMath, MATH, MMLU-Pro, Natural2Code), while Gemma 3 1B is better at 0 benchmarks. Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

Choose Gemini 1.5 Flash 8B if…

  • you want the strongest raw capability — it leads on 5 of 5 shared benchmarks

Choose Gemma 3 1B if…

  • you want the most recent training data — it shipped Mar 2025
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 1.5 Flash 8B outperforms in 5 benchmarks (GPQA, HiddenMath, MATH, MMLU-Pro, Natural2Code), while Gemma 3 1B is better at 0 benchmarks.

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

7.0B diff

Gemini 1.5 Flash 8B has 7.0B more parameters than Gemma 3 1B, making it 700.0% larger.

Google
Gemini 1.5 Flash 8B
8.0Bparameters
Google
Gemma 3 1B
1.0Bparameters
8.0B
Gemini 1.5 Flash 8B
1.0B
Gemma 3 1B

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Flash 8B specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash 8B specifies output context (8,192 tokens).

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Google
Gemma 3 1B
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash 8B supports multimodal inputs, whereas Gemma 3 1B does not.

Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

Gemma 3 1B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 8B 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 1.5 Flash 8B

Proprietary

Closed source

Gemma 3 1B

Gemma

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while Gemma 3 1B was released on 2025-03-12.

Gemma 3 1B is 12 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.2 years ago

Gemma 3 1B

Mar 12, 2025

1.2 years ago

12mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Gemma 3 1B's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without Gemma 3 1B's cutoff date.

Gemini 1.5 Flash 8B

Oct 2024

Gemma 3 1B

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (38.4% vs 19.2%)
Higher HiddenMath score (32.8% vs 15.8%)
Higher MATH score (58.7% vs 48.0%)
Higher MMLU-Pro score (58.7% vs 14.7%)
Higher Natural2Code score (75.5% vs 56.0%)
Google
Has open weights
GoogleGemini 1.5 Flash 8B
GoogleGemma 3 1B
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash 8B
Google
Gemma 3 1B

FAQ

Common questions about Gemini 1.5 Flash 8B vs Gemma 3 1B.

Which is better, Gemini 1.5 Flash 8B or Gemma 3 1B?

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B 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 1.5 Flash 8B compare to Gemma 3 1B in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. 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 Gemini 1.5 Flash 8B and Gemma 3 1B?

Gemini 1.5 Flash 8B 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 1.5 Flash 8B 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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