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Gemma 2 27B vs GPT-4o mini

Gemma 2 27B and GPT-4o mini are closely matched at -0.6 and 3.8 on the LLM Stats Score.

Google · OpenAI · Updated for 2026

Which is better?

Gemma 2 27B and GPT-4o mini are closely matched on the overall LLM Stats Score at -0.6 and 3.8.

In the 3 individual benchmarks reported for both models, GPT-4o mini wins 3; 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 27B

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

Choose GPT-4o mini

  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Jul 2024

At a glance

The differences that matter most.

Core performance indexes
-0.6
#318
3.8
#295
-1.0
#314
4.2
#285
-7.9
#254
-0.4
#236
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
— / M
$0.15 / M
Output price
— / M
$0.60 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 2 27B
GPT-4o mini
-0.3#289
11.8#233
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 27B · 9 for GPT-4o mini

3 shared

Gemma 2 27B outperforms in 0 benchmarks, while GPT-4o mini is better at 3 benchmarks (HumanEval, MATH, MMLU).

GPT-4o mini significantly outperforms across most benchmarks.

Fri Sep 04 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-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).

Google
Gemma 2 27B
Input- tokens
Output- tokens
OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4o mini supports multimodal inputs, whereas Gemma 2 27B does not.

GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 2 27B

Text
Images
Audio
Video

GPT-4o mini

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 2 27B is licensed under Gemma, while GPT-4o mini uses a proprietary license.

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

Gemma 2 27B

Gemma

Open weights

GPT-4o mini

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while GPT-4o mini was released on 2024-07-18.

GPT-4o mini is 1 month newer than Gemma 2 27B.

Gemma 2 27B

Jun 27, 2024

2.2 years ago

GPT-4o mini

Jul 18, 2024

2.1 years ago

3w newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Gemma 2 27B's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Gemma 2 27B's cutoff date.

Gemma 2 27B

GPT-4o mini

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemma 2 27B and GPT-4o mini side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
GPT-4o mini
Open in Playground

FAQ

Common questions about Gemma 2 27B vs GPT-4o mini.

Which is better, Gemma 2 27B or GPT-4o mini?

Gemma 2 27B and GPT-4o mini are closely matched on the LLM Stats Score at -0.6 and 3.8. Gemma 2 27B is made by Google and GPT-4o mini 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 27B compare to GPT-4o mini in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%.

What are the context window sizes for Gemma 2 27B and GPT-4o mini?

Gemma 2 27B supports an unknown number of tokens and GPT-4o mini supports 128K 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 27B and GPT-4o mini?

Key differences include LLM Stats Score (-0.6 vs 3.8), multimodal support (no vs yes), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 27B and GPT-4o mini?

Gemma 2 27B is developed by Google and GPT-4o mini is developed by OpenAI.