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Gemini 1.5 Pro vs Gemma 2 9B

Gemini 1.5 Pro leads the LLM Stats Score 12.1 to -4.8.

Google · Google · Updated for 2026

Which is better?

Gemini 1.5 Pro leads the overall LLM Stats Score 12.1 to -4.8, ranking #253 overall.

In the 5 individual benchmarks reported for both models, Gemini 1.5 Pro 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 Pro

  • overall performance matters — it scores 12.1 and ranks #253 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
12.1
#253
-4.8
#352
11.8
#248
-5.1
#345
4.4
#206
-11.0
#263
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$2.50 / M
— / M
Output price
$10.00 / M
— / M
Context window
2,097,152

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 1.5 Pro
Gemma 2 9B
16.9#199
-3.8#313
16.8#93
-0.1#183
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for Gemini 1.5 Pro · 16 for Gemma 2 9B

5 shared

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

Gemini 1.5 Pro 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 Pro specifies input context (2,097,152 tokens). Only Gemini 1.5 Pro specifies output context (8,192 tokens).

Google
Gemini 1.5 Pro
Input2,097,152 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 Pro supports multimodal inputs, whereas Gemma 2 9B does not.

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

Gemini 1.5 Pro

Text
Images
Audio
Video

Gemma 2 9B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro 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 Pro

Proprietary

Closed source

Gemma 2 9B

Gemma

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro 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 Pro.

Gemini 1.5 Pro

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 Pro 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 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Gemma 2 9B's cutoff date.

Gemini 1.5 Pro

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 Pro and Gemma 2 9B side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Gemini 1.5 Pro leads the LLM Stats Score 12.1 to -4.8. Gemini 1.5 Pro 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 Pro compare to Gemma 2 9B in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. 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 Pro and Gemma 2 9B?

Gemini 1.5 Pro supports 2.1M 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 Pro and Gemma 2 9B?

Key differences include LLM Stats Score (12.1 vs -4.8), multimodal support (yes vs no), licensing (Proprietary vs Gemma). See the full comparison above for benchmark-by-benchmark results.