DeepSeek R1 Distill Qwen 32B vs Hy4 preview
Hy4 preview leads the LLM Stats Score 51.5 to 13.3.
DeepSeek · Tencent · Updated for 2026
Which is better?
Hy4 preview leads the overall LLM Stats Score 51.5 to 13.3, ranking #10 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 DeepSeek R1 Distill Qwen 32B
- you want predictable pricing at $0.12/M input and $0.18/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 1 of 1 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
4 reported for DeepSeek R1 Distill Qwen 32B · 32 for Hy4 preview
DeepSeek R1 Distill Qwen 32B outperforms in 0 benchmarks, while Hy4 preview is better at 1 benchmark (GPQA).
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 737.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 2247.6% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek R1 Distill Qwen 32B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Qwen 32B specifies output context (128,000 tokens).
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B 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 R1 Distill Qwen 32B was released on 2025-01-20, while Hy4 preview was released on 2026-08-28.
Hy4 preview is 20 months newer than DeepSeek R1 Distill Qwen 32B.
Jan 20, 2025
1.6 years ago
Aug 28, 2026
3 days ago
1.6yr 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 R1 Distill Qwen 32B and Hy4 preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Hy4 preview.