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Gemini 1.5 Pro vs Gemma 3n E4B

Gemini 1.5 Pro leads the LLM Stats Score 11.5 to -6.6.

Google · Google · Updated for 2026

Which is better?

Gemini 1.5 Pro leads the overall LLM Stats Score 11.5 to -6.6, ranking #281 overall.

In the 3 individual benchmarks reported for both models, Gemini 1.5 Pro 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 Gemini 1.5 Pro

  • overall performance matters — it scores 11.5 and ranks #281 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

Choose Gemma 3n E4B

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

At a glance

The differences that matter most.

Gemini 1.5 Pro
Google
Gemma 3n E4B
Google
Core performance indexes
LLM Stats Score
11.5
#281
-6.6
#387
Reasoning
11.3
#276
-6.9
#379
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$2.50 / M
— / M
Output price
$10.00 / M
— / M
Context window
2,097,152
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 1.5 Pro
Gemma 3n E4B
Math
16.8#211
-2.8#325
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for Gemini 1.5 Pro · 11 for Gemma 3n E4B

3 shared

Gemini 1.5 Pro outperforms in 3 benchmarks (BIG-Bench Hard, DROP, HellaSwag), while Gemma 3n E4B is better at 0 benchmarks.

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Pro specifies input context (2,097,152 tokens). Only Gemini 1.5 Pro specifies output context (8,192 tokens).

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Google
Gemma 3n E4B
Input- tokens
Output- tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 1.5 Pro and Gemma 3n E4B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 1.5 Pro

Text
Images
Audio
Video

Gemma 3n E4B

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.

Gemini 1.5 Pro

Proprietary

Closed source

Gemma 3n E4B

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Gemma 3n E4B was released on 2025-06-26.

Gemma 3n E4B is 14 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.5 years ago

Gemma 3n E4B

Jun 26, 2025

1.3 years ago

1.2yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a knowledge cutoff of 2023-11-01, while Gemma 3n E4B has a cutoff of 2024-06-01.

Gemma 3n E4B has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to Gemini 1.5 Pro (2023-11-01).

Gemini 1.5 Pro

Nov 2023

Gemma 3n E4B

Jun 2024

7 mo newer

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 1.5 Pro and Gemma 3n E4B side-by-side, then vote on the output you prefer.

Gemini 1.5 Pro
✓ Preferred
Gemma 3n E4B
Open in Playground

FAQ

Common questions about Gemini 1.5 Pro vs Gemma 3n E4B.

Which is better, Gemini 1.5 Pro or Gemma 3n E4B?

Gemini 1.5 Pro leads the LLM Stats Score 11.5 to -6.6. Gemini 1.5 Pro is made by Google and Gemma 3n E4B is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 1.5 Pro compare to Gemma 3n E4B in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%.

What are the context window sizes for Gemini 1.5 Pro and Gemma 3n E4B?

Gemini 1.5 Pro supports 2.1M tokens and Gemma 3n E4B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.5 Pro and Gemma 3n E4B?

Key differences include LLM Stats Score (11.5 vs -6.6). See the full comparison above for benchmark-by-benchmark results.

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