Model Comparison

Gemini 3.1 Pro vs MiniMax M2Which is better in 2026?

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

Verdict: Gemini 3.1 Pro vs MiniMax M2 — which is better?

Gemini 3.1 Pro (by Google) and MiniMax M2 (by MiniMax) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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

On price, MiniMax M2 is roughly 10.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.1 Pro if…

  • you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose MiniMax M2 if…

  • cost matters — it's about 10.7x cheaper per token
  • you need open weights you can self-host or fine-tune
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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 is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M2 costs less

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

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

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

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

Lowest available price from all providers
Sun Jun 07 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
MiniMax
MiniMax M2
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's 1,000,000 tokens. MiniMax M2 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
Input1,000,000 tokens
Output1,000,000 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas MiniMax M2 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

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro 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.

Gemini 3.1 Pro

Proprietary

Closed source

MiniMax M2

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while MiniMax M2 was released on 2025-10-27.

Gemini 3.1 Pro is 4 months newer than MiniMax M2.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

3mo newer
MiniMax M2

Oct 27, 2025

7 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while MiniMax M2'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's cutoff date.

Gemini 3.1 Pro

Jan 2025

MiniMax M2

—

Provider Availability

Gemini 3.1 Pro is available from Google. MiniMax M2 is available from MiniMax, Novita.

Gemini 3.1 Pro

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

MiniMax M2

minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
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 44.0%)
Higher GPQA score (94.3% vs 78.0%)
Higher Humanity's Last Exam score (51.4% vs 12.5%)
Higher SciCode score (59.0% vs 36.0%)
Higher SWE-Bench Verified score (80.6% vs 69.4%)
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

FAQ

Common questions about Gemini 3.1 Pro vs MiniMax M2.

Which is better, Gemini 3.1 Pro or MiniMax M2?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro 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 Gemini 3.1 Pro compare to MiniMax M2 in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. MiniMax M2 scores Tau2 Telecom: 87.0%, LiveCodeBench: 83.0%, MMLU-Pro: 82.0%, AIME 2025: 78.0%, GPQA: 78.0%.

Is Gemini 3.1 Pro cheaper than MiniMax M2?

MiniMax M2 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 costs $0.30/M input and $1.20/M output via minimax.

What are the context window sizes for Gemini 3.1 Pro and MiniMax M2?

Gemini 3.1 Pro supports 1.0M 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 Gemini 3.1 Pro and MiniMax M2?

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.

Who makes Gemini 3.1 Pro and MiniMax M2?

Gemini 3.1 Pro is developed by Google and MiniMax M2 is developed by MiniMax.

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