Downloadable model · 1 comparison

Qwen3.5-27B compared

Qwen3.5-27B has 27.8 billion parameters, about 13.9 GB of weights at 4-bit and is released under the Apache 2.0 licence. Here it is compared with gemma-4-31B-it. Pick a matchup for the full side-by-side, a monthly cost calculator and our verdict.

Qwen3.5-27B at a glance

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Qwen3.5-27B 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.

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

Compare Qwen3.5-27B with

vs gemma-4-31B-it

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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