Gemini 4 Argon vs MiniMax M3
Gemini 4 Argon leads the LLM Stats Score 55.1 to 40.9. MiniMax M3 is 8.2x cheaper per token.
Google · MiniMax · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 40.9, ranking #4 overall.
In the 1 individual benchmarks reported for both models, Gemini 4 Argon wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, MiniMax M3 is roughly 8.2x 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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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 M3
- cost matters — it's about 8.2x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for Gemini 4 Argon · 35 for MiniMax M3
Gemini 4 Argon outperforms in 1 benchmarks (PostTrainBench), while MiniMax M3 is better at 0 benchmarks.
Gemini 4 Argon significantly outperforms across most benchmarks.
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 7.1x more expensive than MiniMax M3 ($0.28/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) is 9.1x more expensive than MiniMax M3 ($1.10/1M tokens).
In conclusion, Gemini 4 Argon 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 4 Argon accepts 1,048,576 input tokens compared to MiniMax M3's 524,288 tokens. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while MiniMax M3 is limited to 524,288 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 4 Argon and MiniMax M3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 4 Argon
MiniMax M3
License
Usage and distribution terms
Gemini 4 Argon 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 4 Argon was released on 2026-09-30, while MiniMax M3 was released on 2026-06-01.
Gemini 4 Argon is 4 months newer than MiniMax M3.
Sep 30, 2026
2 weeks ago
4mo newerJun 1, 2026
4 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 M3 is available from DeepInfra, Fireworks, MiniMax, Novita, Together.
Gemini 4 Argon
MiniMax M3
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and MiniMax M3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs MiniMax M3.