DeepSeek-V3.2 (Thinking) vs Hy4 preview
Hy4 preview leads the LLM Stats Score 51.5 to 33.0.
DeepSeek · Tencent · Updated for 2026
Which is better?
Hy4 preview leads the overall LLM Stats Score 51.5 to 33.0, 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 DeepSeek-V3.2 (Thinking)
- you want predictable pricing at $0.28/M input and $0.42/M output
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
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 (Thinking) · 32 for Hy4 preview
DeepSeek-V3.2 (Thinking) outperforms in 0 benchmarks, while Hy4 preview is better at 3 benchmarks (GPQA, SWE-bench Multilingual, Toolathlon).
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 (Thinking), making it 12.4% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3.2 (Thinking) specifies input context (131,072 tokens). Only DeepSeek-V3.2 (Thinking) specifies output context (65,536 tokens).
License
Usage and distribution terms
DeepSeek-V3.2 (Thinking) 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 (Thinking) was released on 2025-12-01, while Hy4 preview was released on 2026-08-28.
Hy4 preview is 9 months newer than DeepSeek-V3.2 (Thinking).
Dec 1, 2025
9 months ago
Aug 28, 2026
3 days ago
9mo 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 (Thinking) and Hy4 preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3.2 (Thinking) vs Hy4 preview.