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Gemma 3n E2B Instructed vs MiniMax M2

MiniMax M2 significantly outperforms across most benchmarks.

Google · MiniMax · Updated for 2026

Which is better?

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while MiniMax M2 is better at 4 benchmarks (AIME 2025, GPQA, LiveCodeBench, MMLU-Pro). MiniMax M2 significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemma 3n E2B Instructed

  • you are already invested in the Google ecosystem

Choose MiniMax M2

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you want the most recent training data — it shipped Oct 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
0 of 4
4 of 4
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
1,000,000
Released
Jun 2025
Oct 2025
License
Proprietary
MIT

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while MiniMax M2 is better at 4 benchmarks (AIME 2025, GPQA, LiveCodeBench, MMLU-Pro).

MiniMax M2 significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

222.0B diff

MiniMax M2 has 222.0B more parameters than Gemma 3n E2B Instructed, making it 2775.0% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
MiniMax
MiniMax M2
230.0Bparameters
8.0B
Gemma 3n E2B Instructed
230.0B
MiniMax M2

Context Window

Maximum input and output token capacity

Only MiniMax M2 specifies input context (1,000,000 tokens). Only MiniMax M2 specifies output context (1,000,000 tokens).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
MiniMax
MiniMax M2
Input1,000,000 tokens
Output1,000,000 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed supports multimodal inputs, whereas MiniMax M2 does not.

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

Gemma 3n E2B Instructed

Text
Images
Audio
Video

MiniMax M2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed is licensed under a proprietary license, while MiniMax M2 uses MIT.

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

Gemma 3n E2B Instructed

Proprietary

Closed source

MiniMax M2

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while MiniMax M2 was released on 2025-10-27.

MiniMax M2 is 4 months newer than Gemma 3n E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

1.2 years ago

MiniMax M2

Oct 27, 2025

10 months ago

4mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while MiniMax M2's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without MiniMax M2's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

MiniMax M2

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed and MiniMax M2 side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed
✓ Preferred
MiniMax M2
Open in Playground

FAQ

Common questions about Gemma 3n E2B Instructed vs MiniMax M2.

Which is better, Gemma 3n E2B Instructed or MiniMax M2?

MiniMax M2 significantly outperforms across most benchmarks. Gemma 3n E2B Instructed is made by Google and MiniMax M2 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3n E2B Instructed compare to MiniMax M2 in benchmarks?

Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%.

What are the context window sizes for Gemma 3n E2B Instructed and MiniMax M2?

Gemma 3n E2B Instructed supports an unknown number of tokens and MiniMax M2 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 E2B Instructed and MiniMax M2?

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

Who makes Gemma 3n E2B Instructed and MiniMax M2?

Gemma 3n E2B Instructed is developed by Google and MiniMax M2 is developed by MiniMax.