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Gemma 4 12B vs Qwen3-14B: VRAM and speed for running locally

Side by side: how much memory each model needs at Q4, Q8 and FP16, how the KV cache grows with context, the cheapest GPU and Mac that run each, and estimated speed on 11 common machines.

Gemma 4 12B is lighter: about 9.3 GB at Q4 against 11.3 GB for Qwen3-14B, so it runs on 63 tracked devices vs 48. It should also be faster on the same hardware, since it reads 12.0B parameters per token against 14.8B. Which one gives better answers depends on your task, so check benchmarks for that; this page covers what it takes to run them.

Gemma 4 12B vs Qwen3-14B: specs and memory
Gemma 4 12BQwen3-14B
MakergoogleQwen
Licenseapache-2.0apache-2.0
TypeDenseDense
Total parameters12.0B14.8B
Active per token12.0B all14.8B all
Memory at Q4_K_M9.3 GB11.3 GB
Memory at Q8_015.6 GB19.0 GB
Memory at FP1628.5 GB35.0 GB
KV cache growthnot modeled164 MB per 1k tokens, FP16
Memory at Q4, 32k contextcache not modeled16.0 GB 5.4 GB cache
Cheapest GPU at Q4Intel Arc B580 $249Radeon RX 7600 XT $329
Cheapest Mac / mini PC at Q4Mac mini M6 16GB $899Mac mini M6 24GB $1,299
Cheapest GPU at Q8Radeon RX 7900 XT $899Intel Arc Pro B70 32GB $949
Tracked devices that run it at Q463 of 8248 of 82

Estimated speed on the same hardware

Decode tokens per second at Q4_K_M from memory bandwidth (how we estimate). MoE figures are upper bounds ("up to"). Estimates, not benchmarks.

Estimated tokens per second, Gemma 4 12B vs Qwen3-14B
DeviceGemma 4 12BQwen3-14B
GeForce RTX 3060 12GB12 GB usable · 360 GB/s · $32930–42tight fit
GeForce RTX 4060 Ti 16GB16 GB usable · 288 GB/s · $49924–3419–27
GeForce RTX 508016 GB usable · 960 GB/s · $99979–11364–91
GeForce RTX 309024 GB usable · 936 GB/s · $1,49977–11063–89
Radeon RX 7900 XTX24 GB usable · 960 GB/s · $99979–11364–91
GeForce RTX 509032 GB usable · 1792 GB/s · $1,999148–210120–170
Mac mini M6 24GB18 GB usable · 170 GB/s · $1,29911–199–15
Mac mini M6 32GB24 GB usable · 170 GB/s · $1,79911–199–15
Mac mini M5 Pro 64GB48 GB usable · 307 GB/s · $3,19919–3415–27
Framework Desktop (Ryzen AI Max+ 395) 128GB96 GB usable · 256 GB/s · $3,44916–2813–23
MacBook Pro M5 Max 128GB96 GB usable · 614 GB/s · $6,69938–6831–55

Hardware that runs only one of them

Run Gemma 4 12B but not Qwen3-14B: Intel Arc B580, GeForce RTX 3060 12GB, Radeon RX 7700 XT, GeForce RTX 5070, GeForce RTX 4070, GeForce RTX 4070 Super, Mac mini M6 16GB, GeForce RTX 3080 Ti.

Current priced devices, cheapest first, at Q4 with ~4k context.

Quick answers

Which needs less VRAM, Gemma 4 12B or Qwen3-14B?
Gemma 4 12B: about 9.3 GB at Q4_K_M, against 11.3 GB for Qwen3-14B. At Q8_0 it's 15.6 GB vs 19.0 GB.
Which is faster locally, Gemma 4 12B or Qwen3-14B?
Decode speed is limited by how many bytes are read per token. Gemma 4 12B reads 12.0B parameters per token and Qwen3-14B reads 14.8B, so Gemma 4 12B should be faster on the same machine. Our estimate on the GeForce RTX 4060 Ti 16GB at Q4 is 24–34 tok/s vs 19–27 tok/s. These are estimates, not benchmarks.
What is the cheapest GPU for Gemma 4 12B and Qwen3-14B?
At Q4: Intel Arc B580 ($249) for Gemma 4 12B; Radeon RX 7600 XT ($329) for Qwen3-14B. Prices are dated list-price snapshots.
Can a Mac run Gemma 4 12B and Qwen3-14B?
The cheapest Mac or mini PC we track for Gemma 4 12B is the Mac mini M6 16GB ($899). For Qwen3-14B it's the Mac mini M6 24GB ($1,299).
Which is better, Gemma 4 12B or Qwen3-14B?
We don't score answer quality. This comparison covers memory, context cache, hardware and speed. Pick the one that fits your hardware, then test both on your own prompts.

Related comparisons

All comparisons · MoE vs dense · Q4 vs Q8 vs FP16 · Context length and VRAM · VRAM calculator

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