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Gemma 3n E4B vs MiniMax M1 80K

MiniMax M1 80K leads the LLM Stats Score 21.6 to -6.1.

Google · MiniMax · Updated for 2026

Which is better?

MiniMax M1 80K leads the overall LLM Stats Score 21.6 to -6.1, ranking #186 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 3n E4B

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

Choose MiniMax M1 80K

  • overall performance matters — it scores 21.6 and ranks #186 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemma 3n E4B
Google
MiniMax M1 80K
MiniMax
Core performance indexes
LLM Stats Score
-6.1
#359
21.6
#186
Reasoning
-6.4
#351
21.7
#175
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.55 / M
Output price
— / M
$2.20 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 3n E4B
MiniMax M1 80K
Math
-2.8#311
19.6#164
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Gemma 3n E4B · 16 for MiniMax M1 80K

No common benchmarks found

Gemma 3n E4B and MiniMax M1 80Kdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

448.0B diff

MiniMax M1 80K has 448.0B more parameters than Gemma 3n E4B, making it 5600.0% larger.

Google
Gemma 3n E4B
8.0Bparameters
MiniMax
MiniMax M1 80K
456.0Bparameters
8.0B
Gemma 3n E4B
456.0B
MiniMax M1 80K

Context Window

Maximum input and output token capacity

Only MiniMax M1 80K specifies input context (1,000,000 tokens). Only MiniMax M1 80K specifies output context (40,000 tokens).

Google
Gemma 3n E4B
Input- tokens
Output- tokens
MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3n E4B supports multimodal inputs, whereas MiniMax M1 80K does not.

Gemma 3n E4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B

Text
Images
Audio
Video

MiniMax M1 80K

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while MiniMax M1 80K uses MIT.

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

Gemma 3n E4B

Proprietary

Closed source

MiniMax M1 80K

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while MiniMax M1 80K was released on 2025-06-16.

Gemma 3n E4B is 0 month newer than MiniMax M1 80K.

Gemma 3n E4B

Jun 26, 2025

1.2 years ago

1w newer
MiniMax M1 80K

Jun 16, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while MiniMax M1 80K's cutoff date is not specified.

We can confirm Gemma 3n E4B's training data extends to 2024-06-01, but cannot make a direct comparison without MiniMax M1 80K's cutoff date.

Gemma 3n E4B

Jun 2024

MiniMax M1 80K

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 3n E4B and MiniMax M1 80K side-by-side, then vote on the output you prefer.

Gemma 3n E4B
✓ Preferred
MiniMax M1 80K
Open in Playground

FAQ

Common questions about Gemma 3n E4B vs MiniMax M1 80K.

Which is better, Gemma 3n E4B or MiniMax M1 80K?

MiniMax M1 80K leads the LLM Stats Score 21.6 to -6.1. Gemma 3n E4B is made by Google and MiniMax M1 80K is made by MiniMax. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 3n E4B compare to MiniMax M1 80K in benchmarks?

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. MiniMax M1 80K scores MATH-500: 96.8%, ZebraLogic: 86.8%, AIME 2024: 86.0%, MMLU-Pro: 81.1%, AIME 2025: 76.9%.

What are the context window sizes for Gemma 3n E4B and MiniMax M1 80K?

Gemma 3n E4B supports an unknown number of tokens and MiniMax M1 80K supports 1.0M 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 E4B and MiniMax M1 80K?

Key differences include LLM Stats Score (-6.1 vs 21.6), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B and MiniMax M1 80K?

Gemma 3n E4B is developed by Google and MiniMax M1 80K is developed by MiniMax.

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