BBrainOutput

Gemma 2 9B vs Qwen3 8B

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 9BQwen3 8B
Parameters9B8B
Context window8K tokens128K tokens
LicenseGemma Terms of UseApache-2.0
~VRAM @ 4-bit (Q4_K_M)~7 GB~6 GB
~VRAM @ 8-bit (Q8_0)~10 GB~9 GB
Minimum deviceNVIDIA GeForce RTX 3060 12GBNVIDIA GeForce RTX 3060 12GB
Recommended deviceSupermicro 8x H100 SuperServerSupermicro 8x H100 SuperServer
DeploymentLocal / on-premLocal / on-prem
CapabilitiesMultilingualTools, Reasoning, Code, Multilingual, Long context

Highlighted cells mark the lighter / longer / more permissive side per row, for local deployment. Informational rows have no winner.

Bottom line

Qwen3 8B (~8B) is lighter than Gemma 2 9B (~9B), so it runs on more modest hardware, while Gemma 2 9B trades a larger footprint for more capacity. At 4-bit, Qwen3 8B needs about 6GB versus ~7GB, a meaningful gap when choosing a GPU. Qwen3 8B advertises the longer context window (128K vs 8K), which helps with long documents. Qwen3 8B'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 9B if…

Pick Gemma 2 9B if you have the memory to spare and want the larger model.

Pick Qwen3 8B if…

Pick Qwen3 8B if you want the lighter footprint and cheaper hardware, or you need the longer 128K context window, or you want the more permissive Apache-2.0 license.

Full profile
Gemma 2 9B

8-12GB GPUs at 4-bit. Strong quality for its size, with a shorter native context window.

Full profile
Qwen3 8B

8GB+ GPUs at 4-bit. A strong, current small generalist with optional step-by-step reasoning.

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