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Gemma 2 9B vs GPT-6 Cyber

GPT-6 Cyber leads the LLM Stats Score 41.0 to -5.4.

Google · OpenAI · Updated for 2026

Which is better?

GPT-6 Cyber leads the overall LLM Stats Score 41.0 to -5.4, ranking #77 overall.

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

Choose Gemma 2 9B

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

Choose GPT-6 Cyber

  • overall performance matters — it scores 41.0 and ranks #77 on LLM Stats
  • your work emphasizes coding — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Gemma 2 9B
Google
GPT-6 Cyber
OpenAI
Core performance indexes
LLM Stats Score
-5.4
#397
41.0
#77
Coding
-11.1
#303
33.5
#49
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$20.00 / M
Output price
— / M
$100.00 / M
Context window
—
1,050,000

Individual benchmarks

16 reported for Gemma 2 9B · 1 for GPT-6 Cyber

No common benchmarks found

Gemma 2 9B and GPT-6 Cyberdon'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

Context Window

Maximum input and output token capacity

Only GPT-6 Cyber specifies input context (1,050,000 tokens). Only GPT-6 Cyber specifies output context (128,000 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
OpenAI
GPT-6 Cyber
Input1,050,000 tokens
Output128,000 tokens
Sun Nov 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Cyber supports multimodal inputs, whereas Gemma 2 9B does not.

GPT-6 Cyber can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 9B

Text
Images
Audio
Video

GPT-6 Cyber

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while GPT-6 Cyber uses a proprietary license.

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

Gemma 2 9B

Gemma

Open weights

GPT-6 Cyber

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while GPT-6 Cyber was released on 2026-11-05.

GPT-6 Cyber is 29 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

2.4 years ago

GPT-6 Cyber

Nov 5, 2026

3 days ago

2.4yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemma 2 9B and GPT-6 Cyber side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
GPT-6 Cyber
Open in Playground

FAQ

Common questions about Gemma 2 9B vs GPT-6 Cyber.

Which is better, Gemma 2 9B or GPT-6 Cyber?

GPT-6 Cyber leads the LLM Stats Score 41.0 to -5.4. Gemma 2 9B is made by Google and GPT-6 Cyber is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 2 9B compare to GPT-6 Cyber in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. GPT-6 Cyber scores ExploitGym: 48.5%.

What are the context window sizes for Gemma 2 9B and GPT-6 Cyber?

Gemma 2 9B supports an unknown number of tokens and GPT-6 Cyber supports 1.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 2 9B and GPT-6 Cyber?

Key differences include LLM Stats Score (-5.4 vs 41.0), multimodal support (no vs yes), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 9B and GPT-6 Cyber?

Gemma 2 9B is developed by Google and GPT-6 Cyber is developed by OpenAI.

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