Model Comparison

Gemma 3 12B vs MiniMax M1 40K

MiniMax M1 40K significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemma 3 12B outperforms in 0 benchmarks, while MiniMax M1 40K is better at 4 benchmarks (GPQA, LiveCodeBench, MMLU-Pro, SimpleQA).

MiniMax M1 40K significantly outperforms across most benchmarks.

Tue Jun 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

444.0B diff

MiniMax M1 40K has 444.0B more parameters than Gemma 3 12B, making it 3700.0% larger.

Google
Gemma 3 12B
12.0Bparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
12.0B
Gemma 3 12B
456.0B
MiniMax M1 40K

Context Window

Maximum input and output token capacity

Only Gemma 3 12B specifies input context (131,072 tokens). Only Gemma 3 12B specifies output context (131,072 tokens).

Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
MiniMax
MiniMax M1 40K
Input- tokens
Output- tokens
Tue Jun 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 12B supports multimodal inputs, whereas MiniMax M1 40K does not.

Gemma 3 12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 12B

Text
Images
Audio
Video

MiniMax M1 40K

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 12B is licensed under Gemma, while MiniMax M1 40K uses MIT.

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

Gemma 3 12B

Gemma

Open weights

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

Gemma 3 12B was released on 2025-03-12, while MiniMax M1 40K was released on 2025-06-16.

MiniMax M1 40K is 3 months newer than Gemma 3 12B.

Gemma 3 12B

Mar 12, 2025

1.2 years ago

MiniMax M1 40K

Jun 16, 2025

11 months ago

3mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (131,072 tokens)
Supports multimodal inputs
MiniMax
Higher GPQA score (69.2% vs 40.9%)
Higher LiveCodeBench score (62.3% vs 24.6%)
Higher MMLU-Pro score (80.6% vs 60.6%)
Higher SimpleQA score (17.9% vs 6.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 12B
MiniMax
MiniMax M1 40K

FAQ

Common questions about Gemma 3 12B vs MiniMax M1 40K.

Which is better, Gemma 3 12B or MiniMax M1 40K?

MiniMax M1 40K significantly outperforms across most benchmarks. Gemma 3 12B is made by Google and MiniMax M1 40K is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3 12B compare to MiniMax M1 40K in benchmarks?

Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%. MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%.

What are the context window sizes for Gemma 3 12B and MiniMax M1 40K?

Gemma 3 12B supports 131K tokens and MiniMax M1 40K 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 Gemma 3 12B and MiniMax M1 40K?

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

Who makes Gemma 3 12B and MiniMax M1 40K?

Gemma 3 12B is developed by Google and MiniMax M1 40K is developed by MiniMax.