Model Comparison

Gemini 3 Pro vs MiniMax M3Which is better in 2026?

Both models are evenly matched across the benchmarks. MiniMax M3 is 4.3x cheaper per token.

Verdict: Gemini 3 Pro vs MiniMax M3 — which is better?

Gemini 3 Pro (by Google) and MiniMax M3 (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 Pro outperforms in 2 benchmarks (MMMU-Pro, VideoMMMU), while MiniMax M3 is better at 2 benchmarks (OmniDocBench 1.5, SWE-Bench Verified). Both models are evenly matched across the benchmarks.

On price, MiniMax M3 is roughly 4.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3 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 Pro if…

  • you process long inputs — it offers a 1,048,576 token context window

Choose MiniMax M3 if…

  • cost matters — it's about 4.3x cheaper per token
  • you want the most recent training data — it shipped Jun 2026
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 3 Pro outperforms in 2 benchmarks (MMMU-Pro, VideoMMMU), while MiniMax M3 is better at 2 benchmarks (OmniDocBench 1.5, SWE-Bench Verified).

Both models are evenly matched across the benchmarks.

Thu Jun 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M3 costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 3.3x more expensive than MiniMax M3 ($0.60/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 5.0x more expensive than MiniMax M3 ($2.40/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than MiniMax M3.*

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

Lowest available price from all providers
Thu Jun 11 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
MiniMax
MiniMax M3
Input tokens$0.60
Output tokens$2.40
Best providerMiniMax
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3 Pro accepts 1,048,576 input tokens compared to MiniMax M3's 1,000,000 tokens. MiniMax M3 can generate longer responses up to 1,000,000 tokens, while Gemini 3 Pro is limited to 65,536 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
MiniMax
MiniMax M3
Input1,000,000 tokens
Output1,000,000 tokens
Thu Jun 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3 Pro and MiniMax M3 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3 Pro

Text
Images
Audio
Video

MiniMax M3

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while MiniMax M3 uses MIT.

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

Gemini 3 Pro

Proprietary

Closed source

MiniMax M3

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while MiniMax M3 was released on 2026-06-01.

MiniMax M3 is 7 months newer than Gemini 3 Pro.

Gemini 3 Pro

Nov 18, 2025

6 months ago

MiniMax M3

Jun 1, 2026

1 weeks ago

6mo newer

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while MiniMax M3's cutoff date is not specified.

We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without MiniMax M3's cutoff date.

Gemini 3 Pro

Jan 2025

MiniMax M3

—

Provider Availability

Gemini 3 Pro is available from Google. MiniMax M3 is available from MiniMax.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

MiniMax M3

minimax logo
MiniMax
Input Price:Input: $0.60/1MOutput Price:Output: $2.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher MMMU-Pro score (81.0% vs 78.1%)
Higher VideoMMMU score (87.6% vs 84.6%)
MiniMax
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher OmniDocBench 1.5 score (91.6% vs 11.5%)
Higher SWE-Bench Verified score (80.5% vs 76.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Pro
MiniMax
MiniMax M3

FAQ

Common questions about Gemini 3 Pro vs MiniMax M3.

Which is better, Gemini 3 Pro or MiniMax M3?

Both models are evenly matched across the benchmarks. Gemini 3 Pro is made by Google and MiniMax M3 is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3 Pro compare to MiniMax M3 in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. MiniMax M3 scores OmniDocBench 1.5: 91.6%, SpreadSheetBench-v1: 89.3%, USAMO 2026: 85.7%, Video-MME: 85.4%, VideoMMMU: 84.6%.

Is Gemini 3 Pro cheaper than MiniMax M3?

MiniMax M3 is 3.3x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. MiniMax M3 costs $0.60/M input and $2.40/M output via minimax.

What are the context window sizes for Gemini 3 Pro and MiniMax M3?

Gemini 3 Pro supports 1.0M tokens and MiniMax M3 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 Pro and MiniMax M3?

Key differences include context window (1.0M vs 1.0M), input pricing ($2.00 vs $0.60/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3 Pro and MiniMax M3?

Gemini 3 Pro is developed by Google and MiniMax M3 is developed by MiniMax.

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