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Gemini 1.5 Flash vs Gemma 2 9B

Gemini 1.5 Flash leads the LLM Stats Score 6.1 to -4.8.

Google · Google · Updated for 2026

Which is better?

Gemini 1.5 Flash leads the overall LLM Stats Score 6.1 to -4.8, ranking #291 overall.

In the 5 individual benchmarks reported for both models, Gemini 1.5 Flash wins 5; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemini 1.5 Flash

  • overall performance matters — it scores 6.1 and ranks #291 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results

Choose Gemma 2 9B

  • you want the most recent training data — it shipped Jun 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
6.1
#291
-4.8
#352
5.7
#289
-5.1
#345
-0.3
#241
-11.0
#263
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$0.15 / M
— / M
Output price
$0.60 / M
— / M
Context window
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 1.5 Flash
Gemma 2 9B
10.6#250
-3.8#313
5.7#152
-0.1#183
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Gemini 1.5 Flash · 16 for Gemma 2 9B

5 shared

Gemini 1.5 Flash outperforms in 5 benchmarks (GSM8k, HellaSwag, HumanEval, MATH, MMLU), while Gemma 2 9B is better at 0 benchmarks.

Gemini 1.5 Flash significantly outperforms across most benchmarks.

Wed Sep 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

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

Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Google
Gemma 2 9B
Input- tokens
Output- tokens
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 1.5 Flash supports multimodal inputs, whereas Gemma 2 9B does not.

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

Gemini 1.5 Flash

Text
Images
Audio
Video

Gemma 2 9B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 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 1.5 Flash

Proprietary

Closed source

Gemma 2 9B

Gemma

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash was released on 2024-05-01, while Gemma 2 9B was released on 2024-06-27.

Gemma 2 9B is 2 months newer than Gemini 1.5 Flash.

Gemini 1.5 Flash

May 1, 2024

2.4 years ago

Gemma 2 9B

Jun 27, 2024

2.2 years ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a documented knowledge cutoff of 2023-11-01, while Gemma 2 9B's cutoff date is not specified.

We can confirm Gemini 1.5 Flash's training data extends to 2023-11-01, but cannot make a direct comparison without Gemma 2 9B's cutoff date.

Gemini 1.5 Flash

Nov 2023

Gemma 2 9B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 1.5 Flash and Gemma 2 9B side-by-side, then vote on the output you prefer.

Gemini 1.5 Flash
✓ Preferred
Gemma 2 9B
Open in Playground

FAQ

Common questions about Gemini 1.5 Flash vs Gemma 2 9B.

Which is better, Gemini 1.5 Flash or Gemma 2 9B?

Gemini 1.5 Flash leads the LLM Stats Score 6.1 to -4.8. Gemini 1.5 Flash 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 1.5 Flash compare to Gemma 2 9B in benchmarks?

Gemini 1.5 Flash scores XSTest: 97.0%, FLEURS: 90.4%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%. Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%.

What are the context window sizes for Gemini 1.5 Flash and Gemma 2 9B?

Gemini 1.5 Flash supports 1.0M tokens and Gemma 2 9B 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 and Gemma 2 9B?

Key differences include LLM Stats Score (6.1 vs -4.8), multimodal support (yes vs no), licensing (Proprietary vs Gemma). See the full comparison above for benchmark-by-benchmark results.