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Hy4 preview vs MiniMax M1 40K

Hy4 preview leads the LLM Stats Score 50.7 to 20.5.

Tencent · MiniMax · Updated for 2026

Which is better?

Hy4 preview leads the overall LLM Stats Score 50.7 to 20.5, ranking #15 overall.

In the 1 individual benchmarks reported for both models, Hy4 preview wins 1; 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 50.7 and ranks #15 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 want the most recent training data — it shipped Aug 2026

Choose MiniMax M1 40K

  • you are already invested in the MiniMax ecosystem

At a glance

The differences that matter most.

Hy4 preview
Tencent
MiniMax M1 40K
MiniMax
Core performance indexes
LLM Stats Score
50.7
#15
20.5
#197
Reasoning
50.5
#10
20.7
#186
Coding
39.2
#16
8.1
#186
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Hy4 preview
MiniMax M1 40K
Math
41.0#11
18.1#187
Tool use
28.0#20
12.9#102
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

32 reported for Hy4 preview · 16 for MiniMax M1 40K

1 shared

Hy4 preview outperforms in 1 benchmarks (GPQA), while MiniMax M1 40K is better at 0 benchmarks.

Hy4 preview significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

314.0B diff

Hy4 preview has 314.0B more parameters than MiniMax M1 40K, making it 68.9% larger.

Tencent
Hy4 preview
770.0Bparameters
MiniMax
MiniMax M1 40K
456.0Bparameters
770.0B
Hy4 preview
456.0B
MiniMax M1 40K

License

Usage and distribution terms

Hy4 preview is licensed under Apache 2.0, while MiniMax M1 40K uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Hy4 preview

Apache 2.0

Open weights

MiniMax M1 40K

MIT

Open weights

Release Timeline

When each model was launched

Hy4 preview was released on 2026-08-28, while MiniMax M1 40K was released on 2025-06-16.

Hy4 preview is 15 months newer than MiniMax M1 40K.

Hy4 preview

Aug 28, 2026

3 weeks ago

1.2yr newer
MiniMax M1 40K

Jun 16, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Hy4 preview and MiniMax M1 40K side-by-side, then vote on the output you prefer.

Hy4 preview
✓ Preferred
MiniMax M1 40K
Open in Playground

FAQ

Common questions about Hy4 preview vs MiniMax M1 40K.

Which is better, Hy4 preview or MiniMax M1 40K?

Hy4 preview leads the LLM Stats Score 50.7 to 20.5. Hy4 preview is made by Tencent and MiniMax M1 40K is made by MiniMax. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Hy4 preview compare to MiniMax M1 40K in benchmarks?

Hy4 preview scores GPQA: 92.3%, Terminal-Bench 2.1: 85.4%, WideSearch: 83.9%, MCP Atlas: 83.7%, SWE-bench Multilingual: 82.9%. MiniMax M1 40K scores MATH-500: 96.0%, AIME 2024: 83.3%, MMLU-Pro: 80.6%, ZebraLogic: 80.1%, OpenAI-MRCR: 2 needle 128k: 76.1%.

What are the main differences between Hy4 preview and MiniMax M1 40K?

Key differences include LLM Stats Score (50.7 vs 20.5), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy4 preview and MiniMax M1 40K?

Hy4 preview is developed by Tencent and MiniMax M1 40K is developed by MiniMax.

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