Model Comparison

Gemini 2.5 Pro Preview 06-05 vs MiniMax M1 80KWhich is better in 2026?

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks. MiniMax M1 80K is 3.6x cheaper per token.

Verdict: Gemini 2.5 Pro Preview 06-05 vs MiniMax M1 80K — which is better?

Gemini 2.5 Pro Preview 06-05 (by Google) and MiniMax M1 80K (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 2.5 Pro Preview 06-05 outperforms in 6 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, LiveCodeBench, SimpleQA, SWE-Bench Verified), while MiniMax M1 80K is better at 0 benchmarks. Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.

On price, MiniMax M1 80K is roughly 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.5 Pro Preview 06-05 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 2.5 Pro Preview 06-05 if…

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window

Choose MiniMax M1 80K if…

  • cost matters — it's about 3.6x cheaper per token
  • you want the most recent training data — it shipped Jun 2025
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemini 2.5 Pro Preview 06-05 outperforms in 6 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, LiveCodeBench, SimpleQA, SWE-Bench Verified), while MiniMax M1 80K is better at 0 benchmarks.

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.

Sun Jun 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

MiniMax M1 80K costs less

For input processing, Gemini 2.5 Pro Preview 06-05 ($1.25/1M tokens) is 2.3x more expensive than MiniMax M1 80K ($0.55/1M tokens).

For output processing, Gemini 2.5 Pro Preview 06-05 ($10.00/1M tokens) is 4.5x more expensive than MiniMax M1 80K ($2.20/1M tokens).

In conclusion, Gemini 2.5 Pro Preview 06-05 is more expensive than MiniMax M1 80K.*

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

Lowest available price from all providers
Sun Jun 14 2026 • llm-stats.com
Google
Gemini 2.5 Pro Preview 06-05
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
MiniMax
MiniMax M1 80K
Input tokens$0.55
Output tokens$2.20
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.5 Pro Preview 06-05 accepts 1,048,576 input tokens compared to MiniMax M1 80K's 1,000,000 tokens. Gemini 2.5 Pro Preview 06-05 can generate longer responses up to 65,535 tokens, while MiniMax M1 80K is limited to 40,000 tokens.

Google
Gemini 2.5 Pro Preview 06-05
Input1,048,576 tokens
Output65,535 tokens
MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Sun Jun 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro Preview 06-05 supports multimodal inputs, whereas MiniMax M1 80K does not.

Gemini 2.5 Pro Preview 06-05 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro Preview 06-05

Text
Images
Audio
Video

MiniMax M1 80K

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro Preview 06-05 is licensed under a proprietary license, while MiniMax M1 80K uses MIT.

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

Gemini 2.5 Pro Preview 06-05

Proprietary

Closed source

MiniMax M1 80K

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05, while MiniMax M1 80K was released on 2025-06-16.

MiniMax M1 80K is 0 month newer than Gemini 2.5 Pro Preview 06-05.

Gemini 2.5 Pro Preview 06-05

Jun 5, 2025

1.0 years ago

MiniMax M1 80K

Jun 16, 2025

12 months ago

1w newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro Preview 06-05 has a documented knowledge cutoff of 2025-01-31, while MiniMax M1 80K's cutoff date is not specified.

We can confirm Gemini 2.5 Pro Preview 06-05's training data extends to 2025-01-31, but cannot make a direct comparison without MiniMax M1 80K's cutoff date.

Gemini 2.5 Pro Preview 06-05

Jan 2025

MiniMax M1 80K

—

Provider Availability

Gemini 2.5 Pro Preview 06-05 is available from Google. MiniMax M1 80K is available from Novita.

Gemini 2.5 Pro Preview 06-05

google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

MiniMax M1 80K

novita logo
Novita
Input Price:Input: $0.55/1MOutput Price:Output: $2.20/1M
* 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 AIME 2025 score (88.0% vs 76.9%)
Higher GPQA score (86.4% vs 70.0%)
Higher Humanity's Last Exam score (21.6% vs 8.4%)
Higher LiveCodeBench score (69.0% vs 65.0%)
Higher SimpleQA score (54.0% vs 18.5%)
Higher SWE-Bench Verified score (67.2% vs 56.0%)
MiniMax
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro Preview 06-05
MiniMax
MiniMax M1 80K

FAQ

Common questions about Gemini 2.5 Pro Preview 06-05 vs MiniMax M1 80K.

Which is better, Gemini 2.5 Pro Preview 06-05 or MiniMax M1 80K?

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks. Gemini 2.5 Pro Preview 06-05 is made by Google and MiniMax M1 80K is made by MiniMax. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.5 Pro Preview 06-05 compare to MiniMax M1 80K in benchmarks?

Gemini 2.5 Pro Preview 06-05 scores Global-MMLU-Lite: 89.2%, AIME 2025: 88.0%, FACTS Grounding: 87.8%, GPQA: 86.4%, VideoMMMU: 83.6%. MiniMax M1 80K scores MATH-500: 96.8%, ZebraLogic: 86.8%, AIME 2024: 86.0%, MMLU-Pro: 81.1%, AIME 2025: 76.9%.

Is Gemini 2.5 Pro Preview 06-05 cheaper than MiniMax M1 80K?

MiniMax M1 80K is 2.3x cheaper for input tokens. Gemini 2.5 Pro Preview 06-05 costs $1.25/M input and $10.00/M output via google. MiniMax M1 80K costs $0.55/M input and $2.20/M output via novita.

What are the context window sizes for Gemini 2.5 Pro Preview 06-05 and MiniMax M1 80K?

Gemini 2.5 Pro Preview 06-05 supports 1.0M tokens and MiniMax M1 80K 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 2.5 Pro Preview 06-05 and MiniMax M1 80K?

Key differences include context window (1.0M vs 1.0M), input pricing ($1.25 vs $0.55/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Pro Preview 06-05 and MiniMax M1 80K?

Gemini 2.5 Pro Preview 06-05 is developed by Google and MiniMax M1 80K is developed by MiniMax.

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