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Gemma 2 27B vs GPT-3.5 Turbo

Gemma 2 27B leads the LLM Stats Score -0.6 to -9.3.

Google · OpenAI · Updated for 2026

Which is better?

Gemma 2 27B leads the overall LLM Stats Score -0.6 to -9.3, ranking #328 overall.

In the 3 individual benchmarks reported for both models, GPT-3.5 Turbo wins 2; 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

  • overall performance matters — it scores -0.6 and ranks #328 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jun 2024
  • you need open weights you can self-host or fine-tune

Choose GPT-3.5 Turbo

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results

At a glance

The differences that matter most.

Gemma 2 27B
Google
GPT-3.5 Turbo
OpenAI
Core performance indexes
LLM Stats Score
-0.6
#328
-9.3
#362
Reasoning
-1.0
#324
-8.6
#355
Coding
-7.9
#261
-4.5
#256
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
— / M
$0.50 / M
Output price
— / M
$1.50 / M
Context window
—
16,385

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 2 27B
GPT-3.5 Turbo
Math
-0.7#296
-2.3#308
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 27B · 8 for GPT-3.5 Turbo

3 shared

Gemma 2 27B outperforms in 1 benchmarks (MMLU), while GPT-3.5 Turbo is better at 2 benchmarks (HumanEval, MATH).

GPT-3.5 Turbo shows notably better performance in the majority of 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 GPT-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

Google
Gemma 2 27B
Input- tokens
Output- tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Wed Sep 09 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 27B is licensed under Gemma, while GPT-3.5 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-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while GPT-3.5 Turbo was released on 2023-03-21.

Gemma 2 27B is 15 months newer than GPT-3.5 Turbo.

Gemma 2 27B

Jun 27, 2024

2.2 years ago

1.3yr newer
GPT-3.5 Turbo

Mar 21, 2023

3.5 years ago

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Gemma 2 27B's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Gemma 2 27B's cutoff date.

Gemma 2 27B

—

GPT-3.5 Turbo

Sep 2021

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 2 27B and GPT-3.5 Turbo side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
GPT-3.5 Turbo
Open in Playground

FAQ

Common questions about Gemma 2 27B vs GPT-3.5 Turbo.

Which is better, Gemma 2 27B or GPT-3.5 Turbo?

Gemma 2 27B leads the LLM Stats Score -0.6 to -9.3. Gemma 2 27B is made by Google and GPT-3.5 Turbo 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-3.5 Turbo in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.

What are the context window sizes for Gemma 2 27B and GPT-3.5 Turbo?

Gemma 2 27B supports an unknown number of tokens and GPT-3.5 Turbo supports 16K 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-3.5 Turbo?

Key differences include LLM Stats Score (-0.6 vs -9.3), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 27B and GPT-3.5 Turbo?

Gemma 2 27B is developed by Google and GPT-3.5 Turbo is developed by OpenAI.

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