Gemma 3 12B · 11 GPUs measured first-party · llama.cpp Q4_K_M · Updated October 2026

What GPU Do You Need for Gemma 3 12B?

Gemma 3 12B is the practical middle of Google's open lineup, the size where our '12-14B minimum for serious local work' rule starts being satisfied. Measured on 11 GPUs (llama.cpp, Q4_K_M): 161 tok/s on the B300, ~9GB peak VRAM, so 12GB cards host it with room to spare.

Benchmarked weights: bartowski/google_gemma-3-12b-it-GGUF

Fastest we measured

NVIDIA B300

161.3 tok/s on Gemma 3 12B, the ceiling. Measured on our bench. 288GB of VRAM, $40,000 at launch.

Pros

• 161.3 tok/s on Gemma 3 12B
• 288GB, clears the Gemma 3 12B floor
• Rentable by the hour rather than bought

Cons

• 1400W board rating
• Datacenter or workstation hardware, not a retail purchase

Cheapest card that runs it

NVIDIA RTX PRO 6000 Blackwell Workstation Edition

138.1 tok/s on Gemma 3 12B, lowest launch price that still fits. Measured on our bench. 96GB of VRAM, $8,565 at launch.

Pros

• 138.1 tok/s on Gemma 3 12B
• 96GB, clears the Gemma 3 12B floor
• Rentable by the hour rather than bought

Cons

• 600W board rating
• Datacenter or workstation hardware, not a retail purchase

A capable middle-of-the-pack citizen. The family verdict applies at 12B too: Gemma is good at everything and the best at nothing. Against its direct rivals in our database, Qwen3 14B (165 tok/s, ~10GB), Phi-4 14B (177 tok/s, ~10GB), DeepSeek-R1 14B (156 tok/s, reasoning), it trades blows without winning a category outright. What it does bring: vision support (the others are text-only), strong multilingual output, and the lightest floor of the group at ~9GB. If your 12GB card needs one do-everything model that can also read screenshots, that combination is a legitimate reason to choose it.

The measurements. 161 tok/s peak, and a notably strong H200 row: 153 tok/s at 151W (1.01 tok/W). At the budget end the L4 manages 31 tok/s, single-user viable, no more. The ~9GB floor is the practical headline: it's the roomiest fit of any 12-14B-class model we benchmark, leaving real context headroom on 12GB cards where its rivals run tight.

How it compares. H100 80GB HBM3: Gemma 3 12B 150.6 tok/s, Qwen3 14B 151.2 (15B), Hermes-4-14B 152.0, Qwen3-14B 152.2, Gemma 4 12B 148.2. 3 of 4 beat Gemma 3 12B here.

Cost on a rented GPU. 1M generated tokens of Gemma 3 12B: $1.47 on a A100 40GB SXM4 ($0.47/hr, 3.1 hours), $11.95 on a B300 ($6.94/hr, 103 min, 8.1x the cost).

Speed tiers for Gemma 3 12B. 30+ tok/s: 10 (B300, H200, B200); 10-30 tok/s: 1 (T4). 30 tok/s is roughly where replies outpace reading.

Reading your prompt. Before Gemma 3 12B writes anything it reads the input: 7537.1 tok/s on the RTX PRO 6000 Blackwell Workstation Edition (0.5s for a 4,000-token prompt), 773.9 on the T4 (5.2s). Long documents and big code files feel this number more than the generation speed.

VRAM for Gemma 3 12B. Measured peak 8.1GB, so 12GB is the smallest common card size; smallest card it ran on: T4 (16GB). With long context: Q4_K_M 9GB (tested), Q2_K 6GB, Q3_K_M 8GB, Q5_K_M 11GB, Q6_K 12GB.

Power on Gemma 3 12B. Most efficient: H200, 151W, 0.27 kWh per 1M generated tokens. Hungriest: B300, 315W, 0.54 kWh. At $0.15/kWh: $0.041 per 1M generated tokens.

Our verdict

Gemma 3 12B: 161 tok/s peak and the lightest floor in its class (~9GB), the generalist option at the size where local LLM work starts being real. Choose it for vision + multilingual breadth on a 12GB card; choose its rivals when you need their specializations.

FAQ

What GPU does Gemma 3 12B need?

A 12GB card, comfortably. Measured peak was ~9GB at Q4_K_M, the roomiest fit of any 12-14B model we've benchmarked. Arc B580 ($179) or RTX 3060 12GB both work with context headroom.

Gemma 3 12B or Qwen3 14B / Phi-4 14B?

Measured speeds are close (161 / 165 / 177 tok/s peaks). Gemma wins on vision support and VRAM headroom; Phi on raw speed and polish; Qwen on ecosystem. None dominates, match the temperament to your task.

Can it look at images?

Yes, like the 4B and 27B, Gemma 3 12B is multimodal. If your workflow mixes text tasks with reading screenshots or photos, it's the only 12GB-class option in our lineup that does both.

Is 12B enough for serious local work?

It's the threshold, our working rule is 12-14B minimum for dependable output, with the 27-32B range as the sweet spot. This model sits exactly at that entry line.

What's the best value card for it?

The Arc B580 at $179 is the cheapest comfortable host. On the rental side, the H200's 153 tok/s at 151W was the efficiency standout in our runs.