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Gemini 2.0 Flash Thinking vs Gemma 2 9B

Gemini 2.0 Flash Thinking leads the LLM Stats Score 17.1 to -4.8.

Google · Google · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking leads the overall LLM Stats Score 17.1 to -4.8, ranking #202 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash Thinking

  • overall performance matters — it scores 17.1 and ranks #202 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jan 2025

Choose Gemma 2 9B

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

At a glance

The differences that matter most.

Gemini 2.0 Flash Thinking
Google
Gemma 2 9B
Google
Core performance indexes
LLM Stats Score
17.1
#202
-4.8
#336
Reasoning
17.3
#195
-5.1
#329
Cost, coverage & limits
Benchmark wins
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Input price
— / M
— / M
Output price
— / M
— / M
Context window
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Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 16 for Gemma 2 9B

No common benchmarks found

Gemini 2.0 Flash Thinking and Gemma 2 9Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash Thinking supports multimodal inputs, whereas Gemma 2 9B does not.

Gemini 2.0 Flash Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Gemma 2 9B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking is licensed under a proprietary license, while Gemma 2 9B uses Gemma.

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

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Gemma 2 9B

Gemma

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Gemma 2 9B was released on 2024-06-27.

Gemini 2.0 Flash Thinking is 7 months newer than Gemma 2 9B.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.6 years ago

6mo newer
Gemma 2 9B

Jun 27, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Gemma 2 9B's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Gemma 2 9B's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Gemma 2 9B

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Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and Gemma 2 9B side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Gemma 2 9B
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Gemma 2 9B.

Which is better, Gemini 2.0 Flash Thinking or Gemma 2 9B?

Gemini 2.0 Flash Thinking leads the LLM Stats Score 17.1 to -4.8. Gemini 2.0 Flash Thinking is made by Google and Gemma 2 9B is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.0 Flash Thinking compare to Gemma 2 9B in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%.

What are the main differences between Gemini 2.0 Flash Thinking and Gemma 2 9B?

Key differences include LLM Stats Score (17.1 vs -4.8), multimodal support (yes vs no), licensing (Proprietary vs Gemma). See the full comparison above for benchmark-by-benchmark results.

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