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NVIDIA GeForce RTX 4080 Super
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Compatibility Report

Qwen3.6-27B on NVIDIA GeForce RTX 4080 Super

RTX 4080 Super runs Qwen3.6-27B at Q3_K_M — 38 tok/s. Usable on 16 GB VRAM — see full quantization options below.

Model Size

27B

Device VRAM

16 GB

Bandwidth

736 GB/s

Quantization

Q3_K_M

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Qwen3.6-27B on NVIDIA GeForce RTX 4080 Super at Q3_K_M. This is the best supported pairing we can stand behind today.

QuantizationSpeedTTFTFits in VRAMRatingConfidence
Q3_K_M38 tok/s263ms✓ YesAcceptableestimated

Notes

Q3_K_M

Compressed Q3_K_M (14GB, 2GB headroom). Noticeable quality loss vs Q4+. Qwen 3.6 dense 27B; VRAM slightly above Qwen 3.5-27B.

About Qwen3.6-27B

Qwen3.6-27B (27B) is a chat, coding, ai coding, reasoning, multi-purpose model. Dense 27B from the Qwen 3.6 family (April 2026). Strong coding and agentic workflows; native multimodal. 262K context window. VRAM figures include modest KV headroom at default context; long-context runs need more memory or KV cache quantization. Apache 2.0.

View all Qwen3.6-27B hardware options →

About NVIDIA GeForce RTX 4080 Super

NVIDIA GeForce RTX 4080 Super has 16 GB at 736 GB/s. Street price: $979.

See all models NVIDIA GeForce RTX 4080 Super can run →

Estimate method: Estimated from Qwen 3 32B and MoE benchmarks with size/architecture scaling. Reference hardware source: github.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.

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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.

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