Model Comparison

Gemma 2 27B vs GPT-4 TurboWhich is better in 2026?

GPT-4 Turbo significantly outperforms across most benchmarks.

Verdict: Gemma 2 27B vs GPT-4 Turbo — which is better?

Gemma 2 27B (by Google) and GPT-4 Turbo (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemma 2 27B outperforms in 0 benchmarks, while GPT-4 Turbo is better at 3 benchmarks (HumanEval, MATH, MMLU). GPT-4 Turbo significantly outperforms across most benchmarks.

Choose Gemma 2 27B if…

  • 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 Turbo if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

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

GPT-4 Turbo significantly outperforms across most benchmarks.

Mon Jun 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

Google
Gemma 2 27B
Input- tokens
Output- tokens
OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Mon Jun 29 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 27B is licensed under Gemma, while GPT-4 Turbo 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-4 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while GPT-4 Turbo was released on 2024-04-09.

Gemma 2 27B is 3 months newer than GPT-4 Turbo.

Gemma 2 27B

Jun 27, 2024

2.0 years ago

2mo newer
GPT-4 Turbo

Apr 9, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Gemma 2 27B's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Gemma 2 27B's cutoff date.

Gemma 2 27B

—

GPT-4 Turbo

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Has open weights
OpenAI
Larger context window (128,000 tokens)
Higher HumanEval score (87.1% vs 51.8%)
Higher MATH score (72.6% vs 42.3%)
Higher MMLU score (86.5% vs 75.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

Gemma 2 27B
✓ Preferred
GPT-4 Turbo
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 2 27B
OpenAI
GPT-4 Turbo

FAQ

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

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

GPT-4 Turbo significantly outperforms across most benchmarks. Gemma 2 27B is made by Google and GPT-4 Turbo is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 2 27B compare to GPT-4 Turbo in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%.

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

Gemma 2 27B supports an unknown number of tokens and GPT-4 Turbo 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-4 Turbo?

Key differences include licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 27B and GPT-4 Turbo?

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

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