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Gemma 3n E2B vs GPT-3.5 Turbo

Gemma 3n E2B and GPT-3.5 Turbo are closely matched at -9.6 and -8.8 on the LLM Stats Score.

Google · OpenAI · Updated for 2026

Which is better?

Gemma 3n E2B and GPT-3.5 Turbo are closely matched on the overall LLM Stats Score at -9.6 and -8.8.

In the 1 individual benchmarks reported for both models, GPT-3.5 Turbo wins 1; 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 3n E2B

  • you want the most recent training data — it shipped Jun 2025

Choose GPT-3.5 Turbo

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

Gemma 3n E2B
Google
GPT-3.5 Turbo
OpenAI
Core performance indexes
LLM Stats Score
-9.6
#344
-8.8
#342
Reasoning
-9.8
#337
-8.1
#335
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
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 3n E2B
GPT-3.5 Turbo
Math
-5.9#304
-1.9#294
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Gemma 3n E2B · 8 for GPT-3.5 Turbo

1 shared

Gemma 3n E2B outperforms in 0 benchmarks, while GPT-3.5 Turbo is better at 1 benchmark (DROP).

GPT-3.5 Turbo significantly outperforms across most benchmarks.

Sat Aug 29 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 3n E2B
Input- tokens
Output- tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Sat Aug 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3n E2B supports multimodal inputs, whereas GPT-3.5 Turbo does not.

Gemma 3n E2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E2B

Text
Images
Audio
Video

GPT-3.5 Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemma 3n E2B

Proprietary

Closed source

GPT-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while GPT-3.5 Turbo was released on 2023-03-21.

Gemma 3n E2B is 28 months newer than GPT-3.5 Turbo.

Gemma 3n E2B

Jun 26, 2025

1.2 years ago

2.3yr newer
GPT-3.5 Turbo

Mar 21, 2023

3.4 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a knowledge cutoff of 2024-06-01, while GPT-3.5 Turbo has a cutoff of 2021-09-30.

Gemma 3n E2B has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to GPT-3.5 Turbo (2021-09-30).

Gemma 3n E2B

Jun 2024

2.8 yr newer
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 3n E2B and GPT-3.5 Turbo side-by-side, then vote on the output you prefer.

Gemma 3n E2B
✓ Preferred
GPT-3.5 Turbo
Open in Playground

FAQ

Common questions about Gemma 3n E2B vs GPT-3.5 Turbo.

Which is better, Gemma 3n E2B or GPT-3.5 Turbo?

Gemma 3n E2B and GPT-3.5 Turbo are closely matched on the LLM Stats Score at -9.6 and -8.8. Gemma 3n E2B 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 3n E2B compare to GPT-3.5 Turbo in benchmarks?

Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. 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 3n E2B and GPT-3.5 Turbo?

Gemma 3n E2B 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 3n E2B and GPT-3.5 Turbo?

Key differences include LLM Stats Score (-9.6 vs -8.8), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B and GPT-3.5 Turbo?

Gemma 3n E2B is developed by Google and GPT-3.5 Turbo is developed by OpenAI.

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