DeepSeek-V3.2-Exp vs Hy4 preview
Hy4 preview leads the LLM Stats Score 51.0 to 28.2.
DeepSeek · Tencent · Updated for 2026
Which is better?
Hy4 preview leads the overall LLM Stats Score 51.0 to 28.2, ranking #14 overall.
In the 2 individual benchmarks reported for both models, Hy4 preview wins 2; 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-V3.2-Exp
- you want predictable pricing at $0.27/M input and $0.41/M output
Choose Hy4 preview
- overall performance matters — it scores 51.0 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 2 of 2 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
14 reported for DeepSeek-V3.2-Exp · 32 for Hy4 preview
DeepSeek-V3.2-Exp outperforms in 0 benchmarks, while Hy4 preview is better at 2 benchmarks (GPQA, SWE-bench Multilingual).
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 85.0B more parameters than DeepSeek-V3.2-Exp, making it 12.4% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3.2-Exp specifies input context (163,840 tokens). Only DeepSeek-V3.2-Exp specifies output context (65,536 tokens).
License
Usage and distribution terms
DeepSeek-V3.2-Exp 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-V3.2-Exp was released on 2025-09-29, while Hy4 preview was released on 2026-08-28.
Hy4 preview is 11 months newer than DeepSeek-V3.2-Exp.
Sep 29, 2025
11 months ago
Aug 28, 2026
3 weeks ago
11mo 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-V3.2-Exp and Hy4 preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3.2-Exp vs Hy4 preview.