Model Comparison
Gemini 2.5 Flash vs MiniMax M2Which is better in 2026?
MiniMax M2 shows notably better performance in the majority of benchmarks. MiniMax M2 is 1.6x cheaper per token.
Verdict: Gemini 2.5 Flash vs MiniMax M2 — which is better?
Gemini 2.5 Flash (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 2.5 Flash outperforms in 1 benchmarks (GPQA), while MiniMax M2 is better at 3 benchmarks (AIME 2025, Humanity's Last Exam, SWE-Bench Verified). MiniMax M2 shows notably better performance in the majority of benchmarks.
On price, MiniMax M2 is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 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 2.5 Flash if…
- you process long inputs — it offers a 1,048,576 token context window
Choose MiniMax M2 if…
- you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
- cost matters — it's about 1.6x cheaper per token
- you want the most recent training data — it shipped Oct 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.5 Flash outperforms in 1 benchmarks (GPQA), while MiniMax M2 is better at 3 benchmarks (AIME 2025, Humanity's Last Exam, SWE-Bench Verified).
MiniMax M2 shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.5 Flash ($0.30/1M tokens) costs the same as MiniMax M2 ($0.30/1M tokens).
For output processing, Gemini 2.5 Flash ($2.50/1M tokens) is 2.1x more expensive than MiniMax M2 ($1.20/1M tokens).
In conclusion, Gemini 2.5 Flash is more expensive than MiniMax M2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 Flash 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 2.5 Flash is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 2.5 Flash supports multimodal inputs, whereas MiniMax M2 does not.
Gemini 2.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 2.5 Flash
MiniMax M2
License
Usage and distribution terms
Gemini 2.5 Flash 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.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemini 2.5 Flash was released on 2025-05-20, while MiniMax M2 was released on 2025-10-27.
MiniMax M2 is 5 months newer than Gemini 2.5 Flash.
May 20, 2025
1.2 years ago
Oct 27, 2025
9 months ago
5mo newerKnowledge Cutoff
When training data ends
Gemini 2.5 Flash has a documented knowledge cutoff of 2025-01-31, while MiniMax M2's cutoff date is not specified.
We can confirm Gemini 2.5 Flash's training data extends to 2025-01-31, but cannot make a direct comparison without MiniMax M2's cutoff date.
Jan 2025
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Provider Availability
Gemini 2.5 Flash is available from Google. MiniMax M2 is available from MiniMax, Novita.
Gemini 2.5 Flash
MiniMax M2
Outputs Comparison
Key Takeaways
MiniMax M2
View detailsMiniMax
Gemini 2.5 FlashMiniMax M2Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 2.5 Flash and MiniMax M2 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 2.5 Flash vs MiniMax M2.