Gemini 4 Argon vs MiniMax M2.5
Gemini 4 Argon leads the LLM Stats Score 55.1 to 36.6. MiniMax M2.5 is 7.6x cheaper per token.
Google · MiniMax · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 36.6, ranking #4 overall.
On price, MiniMax M2.5 is roughly 7.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 4 Argon also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 4 Argon
- overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
Choose MiniMax M2.5
- cost matters — it's about 7.6x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
19 reported for Gemini 4 Argon · 8 for MiniMax M2.5
Gemini 4 Argon and MiniMax M2.5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 4 Argon ($2.00/1M tokens) is 6.7x more expensive than MiniMax M2.5 ($0.30/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) is 8.3x more expensive than MiniMax M2.5 ($1.20/1M tokens).
In conclusion, Gemini 4 Argon 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 4 Argon accepts 1,048,576 input tokens compared to MiniMax M2.5's 1,000,000 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while MiniMax M2.5 is limited to 1,000,000 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 4 Argon supports multimodal inputs, whereas MiniMax M2.5 does not.
Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 4 Argon
MiniMax M2.5
License
Usage and distribution terms
Gemini 4 Argon 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 4 Argon was released on 2026-09-30, while MiniMax M2.5 was released on 2026-02-12.
Gemini 4 Argon is 8 months newer than MiniMax M2.5.
Sep 30, 2026
2 weeks ago
7mo newerFeb 12, 2026
8 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Gemini 4 Argon is available from Google. MiniMax M2.5 is available from MiniMax.
Gemini 4 Argon
MiniMax M2.5
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and MiniMax M2.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs MiniMax M2.5.