Hy4 preview vs MiniMax M2.1
Hy4 preview leads the LLM Stats Score 51.5 to 32.2.
Tencent · MiniMax · Updated for 2026
Which is better?
Hy4 preview leads the overall LLM Stats Score 51.5 to 32.2, ranking #10 overall.
In the 3 individual benchmarks reported for both models, Hy4 preview wins 3; 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 51.5 and ranks #10 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you want the most recent training data — it shipped Aug 2026
Choose MiniMax M2.1
- 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 · 25 for MiniMax M2.1
Hy4 preview outperforms in 3 benchmarks (GPQA, SWE-bench Multilingual, Toolathlon), while MiniMax M2.1 is better at 0 benchmarks.
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 540.0B more parameters than MiniMax M2.1, making it 234.8% larger.
Context Window
Maximum input and output token capacity
Only MiniMax M2.1 specifies input context (1,000,000 tokens). Only MiniMax M2.1 specifies output context (1,000,000 tokens).
License
Usage and distribution terms
Hy4 preview is licensed under Apache 2.0, while MiniMax M2.1 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 M2.1 was released on 2025-12-23.
Hy4 preview is 8 months newer than MiniMax M2.1.
Aug 28, 2026
3 days ago
8mo newerDec 23, 2025
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.
Outputs Comparison
Judge for yourself.
Run your own prompts against Hy4 preview and MiniMax M2.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hy4 preview vs MiniMax M2.1.