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Gemma 2 9B vs GPT-4

GPT-4 leads the LLM Stats Score 3.0 to -4.9.

Google · OpenAI · Updated for 2026

Which is better?

GPT-4 leads the overall LLM Stats Score 3.0 to -4.9, ranking #316 overall.

In the 5 individual benchmarks reported for both models, GPT-4 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 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

Choose GPT-4

  • overall performance matters — it scores 3.0 and ranks #316 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

At a glance

The differences that matter most.

Core performance indexes
-4.9
#360
3.0
#316
-5.2
#353
3.0
#308
-11.0
#271
-5.2
#266
Cost, coverage & limits
Benchmark wins
0 of 5
5 of 5
Input price
— / M
$30.00 / M
Output price
— / M
$60.00 / M
Context window
—
32,768

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 2 9B
GPT-4
-3.8#315
8.5#259
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 9B · 12 for GPT-4

5 shared

Gemma 2 9B outperforms in 0 benchmarks, while GPT-4 is better at 5 benchmarks (HellaSwag, HumanEval, MATH, MMLU, Winogrande).

GPT-4 significantly outperforms across most benchmarks.

Thu Sep 24 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-4 specifies input context (32,768 tokens). Only GPT-4 specifies output context (32,768 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
Thu Sep 24 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4 supports multimodal inputs, whereas Gemma 2 9B does not.

GPT-4 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-4

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while GPT-4 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-4

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while GPT-4 was released on 2023-06-13.

Gemma 2 9B is 13 months newer than GPT-4.

Gemma 2 9B

Jun 27, 2024

2.2 years ago

1.0yr newer
GPT-4

Jun 13, 2023

3.3 years ago

Knowledge Cutoff

When training data ends

GPT-4 has a documented knowledge cutoff of 2022-12-31, while Gemma 2 9B's cutoff date is not specified.

We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Gemma 2 9B's cutoff date.

Gemma 2 9B

—

GPT-4

Dec 2022

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 2 9B and GPT-4 side-by-side, then vote on the output you prefer.

Gemma 2 9B
✓ Preferred
GPT-4
Open in Playground

FAQ

Common questions about Gemma 2 9B vs GPT-4.

Which is better, Gemma 2 9B or GPT-4?

GPT-4 leads the LLM Stats Score 3.0 to -4.9. Gemma 2 9B is made by Google and GPT-4 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-4 in benchmarks?

Gemma 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%. GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%.

What are the context window sizes for Gemma 2 9B and GPT-4?

Gemma 2 9B supports an unknown number of tokens and GPT-4 supports 33K 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-4?

Key differences include LLM Stats Score (-4.9 vs 3.0), 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-4?

Gemma 2 9B is developed by Google and GPT-4 is developed by OpenAI.