DeepSeek-V4-Pro-Max vs Hy4 preview
Hy4 preview leads the LLM Stats Score 51.1 to 43.5.
DeepSeek · Tencent · Updated for 2026
Which is better?
Hy4 preview leads the overall LLM Stats Score 51.1 to 43.5, ranking #14 overall.
In the 6 individual benchmarks reported for both models, Hy4 preview wins 5; 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 DeepSeek-V4-Pro-Max
- you want predictable pricing at $1.60/M input and $3.20/M output
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 5 of 6 exact shared results
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for DeepSeek-V4-Pro-Max · 32 for Hy4 preview
DeepSeek-V4-Pro-Max outperforms in 1 benchmarks (MathArena Apex), while Hy4 preview is better at 5 benchmarks (GPQA, MCP Atlas, SWE-bench Multilingual, SWE-Bench Pro, Toolathlon).
Hy4 preview significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-V4-Pro-Max has 830.0B more parameters than Hy4 preview, making it 107.8% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V4-Pro-Max specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-Max specifies output context (131,072 tokens).
License
Usage and distribution terms
DeepSeek-V4-Pro-Max is licensed under MIT, while Hy4 preview uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Pro-Max was released on 2026-04-23, while Hy4 preview was released on 2026-08-28.
Hy4 preview is 4 months newer than DeepSeek-V4-Pro-Max.
Apr 23, 2026
4 months ago
Aug 28, 2026
1 weeks ago
4mo newerKnowledge 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 DeepSeek-V4-Pro-Max and Hy4 preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-Max vs Hy4 preview.