ModelsBuildsConfigureGuidesMachinesMy Rig
Build My Rig
Build My Rig
Compat
  1. Home
  2. /Models
  3. /Gemma 4 26B-A4B
  4. /on NVIDIA GeForce RTX 5060 Ti 16GB
NVIDIA GeForce RTX 5060 Ti 16GB
GoogleGoogle
Compatibility Report

Gemma 4 26B-A4B on NVIDIA GeForce RTX 5060 Ti 16GB

Yes — RTX 5060 Ti 16GB runs Gemma 4 26B-A4B excellently at Q3_K_M — 110 tok/s. 16 GB VRAM with plenty of headroom.

Model Size

25.2B

Device VRAM

16 GB

Bandwidth

448 GB/s

Quantization

Q3_K_M

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Gemma 4 26B-A4B on NVIDIA GeForce RTX 5060 Ti 16GB at Q3_K_M. This is the best supported pairing we can stand behind today.

QuantizationSpeedTTFTFits in VRAMRatingConfidence
Q3_K_M110 tok/s50ms✓ YesExcellentestimated

Notes

Q3_K_M

25.2B model. Q3_K_M 12.36GB on 16GB discrete_gpu. Estimated for rtx-5060-ti-16gb; verify with community benchmarks.

About Gemma 4 26B-A4B

Gemma 4 26B-A4B (25.2B) is a chat, coding, reasoning, multi-purpose model. Mixture-of-Experts architecture: 25.2B total parameters but only 3.8B active per token (8 selected + 1 shared expert per layer, out of 128 total). Hybrid dense+sparse FFN design. Inference throughput closer to a 4B dense model; quality closer to a 27B dense model. 256K context window. Benchmarks: 88.3% AIME 2026, 82.6% MMLU Pro, 77.1% LiveCodeBench. All 25.2B weights must be loaded into VRAM despite sparse activation; fits on 24 GB GPUs at Q4_K_M. Apache 2.0 licensed.

View all Gemma 4 26B-A4B hardware options →

About NVIDIA GeForce RTX 5060 Ti 16GB

NVIDIA GeForce RTX 5060 Ti 16GB has 16 GB at 448 GB/s. Street price: $429.

See all models NVIDIA GeForce RTX 5060 Ti 16GB can run →

Estimate method: Estimated from rtx-4060-ti-16gb matrix rows scaled for rtx-5060-ti-16gb memory bandwidth (Ada Gate A methodology). Reference hardware source: nvidia.com (2026-05-26)

Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.

Build it locally. We'll sort the hardware.

ModelsGPUsBuildsMachinesWorkflowsRecommendConfigureCompareGuidesAboutOpen Data
Dark mode active

New models and GPUs, straight to your inbox

Hardware updates only. Unsubscribe anytime. Privacy

Ask AI for a summary about OwnRig

Trademark Notice: NVIDIA, GeForce, and RTX are trademarks of NVIDIA Corporation. AMD and Radeon are trademarks of Advanced Micro Devices, Inc. Apple, Mac, and Apple Silicon are trademarks of Apple Inc. All other product names, logos, and brands are property of their respective owners. AI model names (Llama, Gemma, Mistral, Qwen, etc.) are trademarks of their respective creators. Use of these names and logos is for identification purposes only and does not imply endorsement.

Independence & Affiliates: OwnRig is an independent resource. We are not affiliated with, endorsed by, or sponsored by any hardware manufacturer, AI model provider, or retailer. Our recommendations are based on technical merit and community benchmarks. Some links on this site are affiliate links. If you purchase through them, we may earn a small commission at no extra cost to you. This does not influence our recommendations.

Data Accuracy: Performance figures are estimates based on community benchmarks and may vary by configuration, driver version, and software. Prices are approximate US retail as of March 2026 and may vary by retailer and region. VRAM requirements are calculated from model parameters with overhead estimates. Always verify specifications with manufacturer documentation before purchasing.

© 2026 OwnRig. All rights reserved.

Privacy