Hy4 preview vs o1-mini
Hy4 preview leads the LLM Stats Score 51.5 to 10.2.
Tencent · OpenAI · Updated for 2026
Which is better?
Hy4 preview leads the overall LLM Stats Score 51.5 to 10.2, 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 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
- you need open weights you can self-host or fine-tune
Choose o1-mini
- you want predictable pricing at $3.00/M input and $12.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
32 reported for Hy4 preview · 6 for o1-mini
Hy4 preview outperforms in 1 benchmarks (GPQA), while o1-mini is better at 0 benchmarks.
Hy4 preview significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only o1-mini specifies input context (128,000 tokens). Only o1-mini specifies output context (65,536 tokens).
License
Usage and distribution terms
Hy4 preview is licensed under Apache 2.0, while o1-mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Hy4 preview was released on 2026-08-28, while o1-mini was released on 2024-09-12.
Hy4 preview is 24 months newer than o1-mini.
Aug 28, 2026
2 days ago
2.0yr newerSep 12, 2024
2.0 years ago
Knowledge 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 Hy4 preview and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hy4 preview vs o1-mini.