Model Comparison

Gemini 3.5 Flash Cyber vs MiniMax M1 80KWhich is better in 2026?

Comparing Gemini 3.5 Flash Cyber and MiniMax M1 80K across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash Cyber vs MiniMax M1 80K — which is better?

Gemini 3.5 Flash Cyber (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.

Choose Gemini 3.5 Flash Cyber if…

  • you want the most recent training data — it shipped Jul 2026

Choose MiniMax M1 80K if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash Cyber and MiniMax M1 80Kdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only MiniMax M1 80K specifies input context (1,000,000 tokens). Only MiniMax M1 80K specifies output context (40,000 tokens).

Google
Gemini 3.5 Flash Cyber
Input- tokens
Output- tokens
MiniMax
MiniMax M1 80K
Input1,000,000 tokens
Output40,000 tokens
Mon Jul 27 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 3.5 Flash Cyber 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 3.5 Flash Cyber

Proprietary

Closed source

MiniMax M1 80K

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash Cyber was released on 2026-07-21, while MiniMax M1 80K was released on 2025-06-16.

Gemini 3.5 Flash Cyber is 13 months newer than MiniMax M1 80K.

Gemini 3.5 Flash Cyber

Jul 21, 2026

4 days ago

1.1yr newer
MiniMax M1 80K

Jun 16, 2025

1.1 years ago

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

No standout differentiators in the data we have for this pair.

MiniMax
Larger context window (1,000,000 tokens)
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash Cyber and MiniMax M1 80K side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash Cyber
✓ Preferred
MiniMax M1 80K
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash Cyber
MiniMax
MiniMax M1 80K

FAQ

Common questions about Gemini 3.5 Flash Cyber vs MiniMax M1 80K.

Which is better, Gemini 3.5 Flash Cyber or MiniMax M1 80K?

Gemini 3.5 Flash Cyber (Google) and MiniMax M1 80K (MiniMax) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.5 Flash Cyber compare to MiniMax M1 80K in benchmarks?

Gemini 3.5 Flash Cyber scores CyberGym: 83.2%. MiniMax M1 80K scores MATH-500: 96.8%, ZebraLogic: 86.8%, AIME 2024: 86.0%, MMLU-Pro: 81.1%, AIME 2025: 76.9%.

What are the context window sizes for Gemini 3.5 Flash Cyber and MiniMax M1 80K?

Gemini 3.5 Flash Cyber supports an unknown number of 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 3.5 Flash Cyber and MiniMax M1 80K?

Key differences include licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash Cyber and MiniMax M1 80K?

Gemini 3.5 Flash Cyber is developed by Google and MiniMax M1 80K is developed by MiniMax.

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