Hy4 preview vs MiniMax M3
Hy4 preview leads the LLM Stats Score 51.1 to 41.4.
Tencent · MiniMax · Updated for 2026
Which is better?
Hy4 preview leads the overall LLM Stats Score 51.1 to 41.4, ranking #14 overall.
In the 9 individual benchmarks reported for both models, Hy4 preview wins 8; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Hy4 preview
- overall performance matters — it scores 51.1 and ranks #14 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 8 of 9 exact shared results
- you want the most recent training data — it shipped Aug 2026
Choose MiniMax M3
- you want predictable pricing at $0.30/M input and $1.20/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
32 reported for Hy4 preview · 35 for MiniMax M3
Hy4 preview outperforms in 8 benchmarks (APEX-Agents, BankerToolBench, DRACO, MCP Atlas, NL2Repo, OfficeQA Pro, SWE-Bench Pro, Terminal-Bench 2.1), while MiniMax M3 is better at 1 benchmark (PostTrainBench).
Hy4 preview significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Hy4 preview has 342.0B more parameters than MiniMax M3, making it 79.9% larger.
Context Window
Maximum input and output token capacity
Only MiniMax M3 specifies input context (512,000 tokens). Only MiniMax M3 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
MiniMax M3 supports multimodal inputs, whereas Hy4 preview does not.
MiniMax M3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Hy4 preview
MiniMax M3
License
Usage and distribution terms
Hy4 preview is licensed under Apache 2.0, while MiniMax M3 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Hy4 preview was released on 2026-08-28, while MiniMax M3 was released on 2026-06-01.
Hy4 preview is 3 months newer than MiniMax M3.
Aug 28, 2026
1 weeks ago
2mo newerJun 1, 2026
3 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Hy4 preview and MiniMax M3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hy4 preview vs MiniMax M3.