Downloadable model · 1 comparison

gemma-4-31B-it compared

gemma-4-31B-it has 31.3 billion parameters, about 15.6 GB of weights at 4-bit and is released under the Apache 2.0 licence. Here it is compared with Qwen3.5-27B. Pick a matchup for the full side-by-side, a monthly cost calculator and our verdict.

gemma-4-31B-it at a glance

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gemma-4-31B-it next to similar models

The figures that decide whether a downloadable model fits your hardware and your project, for every model it is compared with.

gemma-4-31B-it compared on size, memory, context and licence
Model	Parameters	Weights at 4-bit	Context	Licence
gemma-4-31B-it (this model)	31.3B	about 15.6 GB	—	Apache 2.0
Qwen3.5-27B	27.8B	about 13.9 GB	—	Apache 2.0

Weights only, at 4 bits per parameter. Conversations need memory on top of that; the model hardware calculator works out the full figure for your context length.

Qwen3.5-27B is the smallest here: its weights need about 13.9 GB at 4-bit, against 15.6 GB for gemma-4-31B-it.

Compare gemma-4-31B-it with

vs Qwen3.5-27B

Gemma 4 31B vs Qwen3.5 27B

Gemma 4 31B and Qwen3.5 27B are dense open models in the same size class: both fit one 24 GB GPU at 4-bit. Both are Apache 2.0, both take text and images, and both support 256K-token context. They differ in memory use, how thinking is switched on and language coverage.

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