Hy4 preview vs MAI-Code-1.1-Flash
Hy4 preview leads the LLM Stats Score 51.1 to 28.3.
Tencent · Microsoft · Updated for 2026
Which is better?
Hy4 preview leads the overall LLM Stats Score 51.1 to 28.3, ranking #14 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 51.1 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 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 MAI-Code-1.1-Flash
- you want predictable pricing at $0.20/M input and $1.20/M output
At a glance
The differences that matter most.
Individual benchmarks
32 reported for Hy4 preview · 2 for MAI-Code-1.1-Flash
Hy4 preview outperforms in 1 benchmarks (Terminal-Bench 2.1), while MAI-Code-1.1-Flash is better at 0 benchmarks.
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 632.0B more parameters than MAI-Code-1.1-Flash, making it 458.0% larger.
Context Window
Maximum input and output token capacity
Only MAI-Code-1.1-Flash specifies input context (256,000 tokens).
Input capabilities
Documented input modalities across available providers
MAI-Code-1.1-Flash supports multimodal inputs, whereas Hy4 preview does not.
MAI-Code-1.1-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Hy4 preview
MAI-Code-1.1-Flash
License
Usage and distribution terms
Hy4 preview is licensed under Apache 2.0, while MAI-Code-1.1-Flash 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 MAI-Code-1.1-Flash was released on 2026-08-11.
Hy4 preview is 1 month newer than MAI-Code-1.1-Flash.
Aug 28, 2026
1 weeks ago
2w newerAug 11, 2026
3 weeks 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 MAI-Code-1.1-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hy4 preview vs MAI-Code-1.1-Flash.