Gemma 4 31B vs Hy4 preview
Hy4 preview leads the LLM Stats Score 51.5 to 33.4.
Google · Tencent · Updated for 2026
Which is better?
Hy4 preview leads the overall LLM Stats Score 51.5 to 33.4, ranking #12 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 Gemma 4 31B
- you want predictable pricing at $0.13/M input and $0.38/M output
Choose Hy4 preview
- overall performance matters — it scores 51.5 and ranks #12 on LLM Stats
- your work emphasizes reasoning and agents — 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
12 reported for Gemma 4 31B · 32 for Hy4 preview
Gemma 4 31B 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 739.3B more parameters than Gemma 4 31B, making it 2408.1% larger.
Context Window
Maximum input and output token capacity
Only Gemma 4 31B specifies input context (262,144 tokens). Only Gemma 4 31B specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Gemma 4 31B supports multimodal inputs, whereas Hy4 preview does not.
Gemma 4 31B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 4 31B
Hy4 preview
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemma 4 31B was released on 2026-04-02, while Hy4 preview was released on 2026-08-28.
Hy4 preview is 5 months newer than Gemma 4 31B.
Apr 2, 2026
5 months ago
Aug 28, 2026
5 days ago
4mo newerKnowledge Cutoff
When training data ends
Gemma 4 31B has a documented knowledge cutoff of 2025-01-01, while Hy4 preview's cutoff date is not specified.
We can confirm Gemma 4 31B's training data extends to 2025-01-01, but cannot make a direct comparison without Hy4 preview's cutoff date.
Jan 2025
—
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 4 31B and Hy4 preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 4 31B vs Hy4 preview.