18 August 2026

Three AI models tested side-by-side on limited memory hardware

• A comparison measured how Qwen 3.8, Qwen 3.6, and Gemma 4 perform when constrained to 24GB of GPU memory, simulating real-world hardware limits many developers face.
• The test included measurements at longer context windows, showing how each model's memory use scales when processing more text at once.
• The source's commercial independence was flagged as unclear, meaning readers cannot yet verify whether the test was conducted impartially or with vendor bias.

How it was covered

TLDR AITLDR editorial team

A hands-on comparison tested Qwen3.8, Qwen3.6, and Gemma 4 under the same 24GB GPU constraint, including memory headroom at longer contexts. The measurements are useful but require validation of the source's commercial independence.