Gemma 2 2B vs Qwen2.5 1.5B
Size, context window, license, approximate VRAM and the minimum local hardware each model needs — computed from our catalog and compatibility engine, not benchmarks.
| Gemma 2 2B | Qwen2.5 1.5B | |
|---|---|---|
| Parameters | 2B | 1.5B |
| Context window | 8K tokens | 32K tokens |
| License | Gemma Terms of Use | Apache-2.0 |
| ~VRAM @ 4-bit (Q4_K_M) | ~1.6 GB | ~1 GB |
| ~VRAM @ 8-bit (Q8_0) | ~2.4 GB | ~1.7 GB |
| Minimum device | NVIDIA GeForce RTX 3060 12GB | NVIDIA GeForce RTX 3060 12GB |
| Recommended device | Supermicro 8x H100 SuperServer | Supermicro 8x H100 SuperServer |
| Deployment | Local / on-prem | Local / on-prem |
| Capabilities | Multilingual | Tools, Multilingual |
Highlighted cells mark the lighter / longer / more permissive side per row, for local deployment. Informational rows have no winner.
Bottom line
Qwen2.5 1.5B (~1.5B) is lighter than Gemma 2 2B (~2B), so it runs on more modest hardware, while Gemma 2 2B trades a larger footprint for more capacity. At 4-bit, Qwen2.5 1.5B needs about 1GB versus ~1.6GB, a meaningful gap when choosing a GPU. Qwen2.5 1.5B advertises the longer context window (32K vs 8K), which helps with long documents. Qwen2.5 1.5B's Apache-2.0 license is the more permissive of the two for commercial use. Both can start on a NVIDIA GeForce RTX 3060 12GB-class machine. Figures are approximate working-set estimates, not benchmarks — verify the exact release before committing hardware.
Pick Gemma 2 2B if you have the memory to spare and want the larger model.
Pick Qwen2.5 1.5B if you want the lighter footprint and cheaper hardware, or you need the longer 32K context window, or you want the more permissive Apache-2.0 license.
Runs on a CPU or any small GPU. Strong response quality for a 2B model, with a short context window.
Runs comfortably on a CPU or any small GPU. A practical edge size for light high-volume work.
Run the winner on hardware you control
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