Model Comparison

Gemini 3.1 Pro vs MiniMax M2.1

Gemini 3.1 Pro significantly outperforms across most benchmarks. MiniMax M2.1 is 10.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 3.1 Pro outperforms in 5 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, SciCode, SWE-Bench Verified), while MiniMax M2.1 is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Sat Apr 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2.1 costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 8.3x more expensive than MiniMax M2.1 ($0.30/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 12.5x more expensive than MiniMax M2.1 ($1.20/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than MiniMax M2.1.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
MiniMax
MiniMax M2.1
Input tokens$0.30
Output tokens$1.20
Best providerMiniMax
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to MiniMax M2.1's 1,000,000 tokens. MiniMax M2.1 can generate longer responses up to 1,000,000 tokens, while Gemini 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
MiniMax
MiniMax M2.1
Input1,000,000 tokens
Output1,000,000 tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas MiniMax M2.1 does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

MiniMax M2.1

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while MiniMax M2.1 uses MIT.

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

Gemini 3.1 Pro

Proprietary

Closed source

MiniMax M2.1

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while MiniMax M2.1 was released on 2025-12-23.

Gemini 3.1 Pro is 2 months newer than MiniMax M2.1.

Gemini 3.1 Pro

Feb 19, 2026

1 months ago

1mo newer
MiniMax M2.1

Dec 23, 2025

3 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while MiniMax M2.1's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without MiniMax M2.1's cutoff date.

Gemini 3.1 Pro

Jan 2025

MiniMax M2.1

—

Provider Availability

Gemini 3.1 Pro is available from Google. MiniMax M2.1 is available from MiniMax.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

MiniMax M2.1

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher BrowseComp score (85.9% vs 62.0%)
Higher GPQA score (94.3% vs 81.0%)
Higher Humanity's Last Exam score (51.4% vs 22.0%)
Higher SciCode score (59.0% vs 39.0%)
Higher SWE-Bench Verified score (80.6% vs 67.0%)
MiniMax
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
MiniMax
MiniMax M2.1

FAQ

Common questions about Gemini 3.1 Pro vs MiniMax M2.1

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and MiniMax M2.1 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. MiniMax M2.1 scores VIBE Web: 91.5%, VIBE Android: 89.7%, VIBE: 88.6%, MMLU-Pro: 88.0%, VIBE iOS: 88.0%.
MiniMax M2.1 is 8.3x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. MiniMax M2.1 costs $0.30/M input and $1.20/M output via minimax.
Gemini 3.1 Pro supports 1.0M tokens and MiniMax M2.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 1.0M), input pricing ($2.50 vs $0.30/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 3.1 Pro is developed by Google and MiniMax M2.1 is developed by MiniMax.