Model Comparison
Gemini 3.6 Flash vs MiniMax M2.5Which is better in 2026?
Gemini 3.6 Flash significantly outperforms across most benchmarks. MiniMax M2.5 is 5.7x cheaper per token.
Verdict: Gemini 3.6 Flash vs MiniMax M2.5 — which is better?
Gemini 3.6 Flash (by Google) and MiniMax M2.5 (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 3.6 Flash outperforms in 1 benchmarks (SWE-Bench Pro), while MiniMax M2.5 is better at 0 benchmarks. Gemini 3.6 Flash significantly outperforms across most benchmarks.
On price, MiniMax M2.5 is roughly 5.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.6 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3.6 Flash if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Choose MiniMax M2.5 if…
- cost matters — it's about 5.7x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.6 Flash outperforms in 1 benchmarks (SWE-Bench Pro), while MiniMax M2.5 is better at 0 benchmarks.
Gemini 3.6 Flash significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.6 Flash ($1.50/1M tokens) is 5.0x more expensive than MiniMax M2.5 ($0.30/1M tokens).
For output processing, Gemini 3.6 Flash ($7.50/1M tokens) is 6.3x more expensive than MiniMax M2.5 ($1.20/1M tokens).
In conclusion, Gemini 3.6 Flash is more expensive than MiniMax M2.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.6 Flash accepts 1,048,576 input tokens compared to MiniMax M2.5's 1,000,000 tokens. MiniMax M2.5 can generate longer responses up to 1,000,000 tokens, while Gemini 3.6 Flash is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3.6 Flash supports multimodal inputs, whereas MiniMax M2.5 does not.
Gemini 3.6 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.6 Flash
MiniMax M2.5
License
Usage and distribution terms
Gemini 3.6 Flash is licensed under a proprietary license, while MiniMax M2.5 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemini 3.6 Flash was released on 2026-07-21, while MiniMax M2.5 was released on 2026-02-12.
Gemini 3.6 Flash is 5 months newer than MiniMax M2.5.
Jul 21, 2026
4 days ago
5mo newerFeb 12, 2026
5 months ago
Knowledge Cutoff
When training data ends
Gemini 3.6 Flash has a documented knowledge cutoff of 2026-03-31, while MiniMax M2.5's cutoff date is not specified.
We can confirm Gemini 3.6 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without MiniMax M2.5's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.6 Flash is available from Google. MiniMax M2.5 is available from MiniMax.
Gemini 3.6 Flash
MiniMax M2.5
Outputs Comparison
Key Takeaways
MiniMax M2.5
View detailsMiniMax
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3.6 Flash and MiniMax M2.5 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3.6 Flash vs MiniMax M2.5.