Model Comparison
Gemini 3.5 Flash-Lite vs MiniMax M3Which is better in 2026?
MiniMax M3 shows notably better performance in the majority of benchmarks. MiniMax M3 is 1.6x cheaper per token.
Verdict: Gemini 3.5 Flash-Lite vs MiniMax M3 — which is better?
Gemini 3.5 Flash-Lite (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 3.5 Flash-Lite outperforms in 1 benchmarks (OSWorld-Verified), while MiniMax M3 is better at 3 benchmarks (GDPval-AA, SWE-Bench Pro, Terminal-Bench 2.1). MiniMax M3 shows notably better performance in the majority of benchmarks.
On price, MiniMax M3 is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3.5 Flash-Lite if…
- 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 M3 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 need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.5 Flash-Lite outperforms in 1 benchmarks (OSWorld-Verified), while MiniMax M3 is better at 3 benchmarks (GDPval-AA, SWE-Bench Pro, Terminal-Bench 2.1).
MiniMax M3 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 3.5 Flash-Lite ($0.30/1M tokens) costs the same as MiniMax M3 ($0.30/1M tokens).
For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 2.1x more expensive than MiniMax M3 ($1.20/1M tokens).
In conclusion, Gemini 3.5 Flash-Lite is more expensive than MiniMax M3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.5 Flash-Lite accepts 1,048,576 input tokens compared to MiniMax M3's 512,000 tokens. MiniMax M3 can generate longer responses up to 131,072 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3.5 Flash-Lite and MiniMax M3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.5 Flash-Lite
MiniMax M3
License
Usage and distribution terms
Gemini 3.5 Flash-Lite 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.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Gemini 3.5 Flash-Lite was released on 2026-07-21, while MiniMax M3 was released on 2026-06-01.
Gemini 3.5 Flash-Lite is 2 months newer than MiniMax M3.
Jul 21, 2026
0 days ago
1mo newerJun 1, 2026
1 months ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while MiniMax M3's cutoff date is not specified.
We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without MiniMax M3's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.5 Flash-Lite is available from Google. MiniMax M3 is available from Fireworks, Novita, Together, MiniMax.
Gemini 3.5 Flash-Lite
MiniMax M3
Outputs Comparison
Key Takeaways
MiniMax M3
View detailsMiniMax
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash-Lite and MiniMax M3 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3.5 Flash-Lite vs MiniMax M3.