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ModelTape / Runs on 16 GB VRAM
RTX 4060 Ti 16 GB, RTX 5060 Ti 16 GB, RTX 4080, RTX 5080, RX 9070 XT

Best LLMs for 16 GB of VRAM

139 open-weights models run on a GPU with 16 GB of VRAM and 32 GB of system RAM, 92 of them fully on the GPU. The strongest by benchmark score: Qwen 3.8 27B, Qwen3.6 27B, Gemma 4 31B IT.

Each row shows the best quantization that fits, where it runs and a speed estimate at a 16K context, assuming a card with about 500 GB/s of memory bandwidth. Bigger mixture-of-experts models can keep their experts in system RAM, which is why some run well above 16 GB. Other sizes: 6 GB · 8 GB · 12 GB · 24 GB · 32 GB.

Ranked by benchmarks

#ModelLabReleasedSizeECIBest quantRunstok/s
1Qwen 3.8 27BQwen2026-08-1428B152.6IQ3_XXSfully on GPU~27
2Qwen3.6 27BQwen2026-04-2128B146.7IQ3_XXSfully on GPU~27
3Gemma 4 31B ITGoogle2026-04-0231B144.3Q3_K_Msplit GPU / CPU~6
4Qwen 3.6 35B-A3BQwen2026-04-1436B MoE144.0Q6_KGPU + experts in RAM~42
5Qwen3.5-35B-A3BQwen2026-02-2436B MoE144.0Q6_KGPU + experts in RAM~42
6Gemma 4 26B A4BGoogle2026-04-0226B MoE141.6Q6_KGPU + experts in RAM~25
7gpt-oss-120bOpenAI2025-08-05117B MoE140.2IQ2_MGPU + experts in RAM~30
8Qwen3.5-9BQwen2026-02-249.7B139.3Q6_Kfully on GPU~37
9Qwen3-30B-A3B-Thinking (Jul 2025)Qwen2025-07-3030B MoE138.3Q6_KGPU + experts in RAM~30
10Qwen3-32BQwen2025-04-2933B136.9IQ3_XXSsplit GPU / CPU~9
11QwQ-32BQwen2025-03-0532B136.5Q3_K_Msplit GPU / CPU~5
12Qwen3-14BQwen2025-04-2915B136.1Q5_K_Mfully on GPU~28
13Qwen3-30B-A3B-Instruct (Jul 2025)Qwen2025-07-2930B MoE135.2Q6_KGPU + experts in RAM~30
14gpt-oss-20bOpenAI2025-08-0521B MoE135.0Q4_K_Mfully on GPU~100
15Qwen3-30B-A3BQwen2025-04-2931B MoE134.1Q6_KGPU + experts in RAM~34
16Qwen3-8BQwen2025-04-288.2B132.1Q6_Kfully on GPU~43
17Phi-4Microsoft2024-12-1215B129.0Q5_K_Mfully on GPU~28
18Gemma 3 27BGoogle2025-03-1227B127.5IQ3_XXSfully on GPU~28
19Qwen2.5-Coder-32BQwen2024-09-1832B118.9Q3_K_Msplit GPU / CPU~5
20Gemma 2 27BGoogle2024-06-2427B118.6Q3_K_Msplit GPU / CPU~5
21phi-3-small 7.4BMicrosoft2024-04-237.4B116.5Q6_Kfully on GPU~47
22phi-3-medium 14BMicrosoft2024-04-2314B114.3Q6_Kfully on GPU~25
23Mistral NeMoMistral2024-07-1812B113.9Q6_Kfully on GPU~29
24Gemma 2 9BGoogle2024-06-249.2B112.7Q6_Kfully on GPU~38
25Llama 3.1-8BMeta2024-07-238B111.1Q6_Kfully on GPU~44
26phi-3-mini 3.8BMicrosoft2024-04-233.8B110.6Q6_Kfully on GPU~88
27Llama 3-8BMeta2024-04-188B109.4Q6_Kfully on GPU~44
28Gemma 7BGoogle2024-02-217B103.3Q6_Kfully on GPU~50
29Mistral 7B v0.1Mistral2023-09-277B102.8Q6_Kfully on GPU~50
30Qwen-14BQwen2023-09-2414B101.9Q6_Kfully on GPU~25
31Falcon 2 11BTII2024-05-0911B99.3Q6_Kfully on GPU~32
32Llama 2-13BMeta2023-07-1813B96.7Q6_Kfully on GPU~27
33LLaMA-33BMeta2023-02-2433B96.6IQ3_XXSsplit GPU / CPU~11
34StarCoder 2 15BHugging Face2024-02-2015B96.3Q5_K_Mfully on GPU~27
35Yi 6B01.AI2023-11-226B94.4Q6_Kfully on GPU~57
36Baichuan2-13BBaichuan2023-09-0613B92.0Q6_Kfully on GPU~27
37Falcon-40BTII2023-05-2540B90.9IQ3_XXSsplit GPU / CPU~5
38Qwen-7BQwen2023-09-287B89.2Q6_Kfully on GPU~50
39MPT-30BMosaicML2023-06-2230B85.5IQ4_XSsplit GPU / CPU~5
40LLaMA-13BMeta2023-02-2413B85.4Q6_Kfully on GPU~27
41Baichuan 2-7BBaichuan2023-09-207B83.8Q6_Kfully on GPU~50
42Llama 2-7BMeta2023-07-187B83.4Q6_Kfully on GPU~50
43LLaMA-7BMeta2023-02-247B77.5Q6_Kfully on GPU~50
44DeepSeek Coder 33BDeepSeek2023-11-0233B76.6IQ3_XXSsplit GPU / CPU~11
45Gemma 2BGoogle2024-02-212B76.0Q6_Kfully on GPU~150
46MPT-7BMosaicML2023-05-057B73.7Q6_Kfully on GPU~50
47Falcon-7BTII2023-04-247B73.4Q6_Kfully on GPU~50
48StarCoder 2 7BHugging Face2024-02-207B72.7Q6_Kfully on GPU~50
49XGen-7BSalesforce2023-06-277B70.6Q6_Kfully on GPU~50
50DeepSeek Coder 6.7BDeepSeek2023-11-026.7B67.8Q6_Kfully on GPU~52
51StarCoder 2 3BHugging Face2024-02-223B66.9Q6_Kfully on GPU~110
52Dolly 2.0-12bDatabricks2023-04-1112B55.8Q6_Kfully on GPU~30
53Cerebras-GPT-13BCerebras2023-03-2013B49.3Q6_Kfully on GPU~27

Newer models without benchmark results yet

ModelLabReleasedSizeECIBest quantRunstok/s
KLM 1.6MinimaLabs2026-11-090.1B–Q6_Kfully on GPU~790
Cola2ByteDance2026-11-068.8B–Q6_Kfully on GPU~40
S5 nanoMaritaca-ai2026-11-024.7B–Q6_Kfully on GPU~73
Raon 1 nanoKRAFTON2026-10-293.5B–Q6_Kfully on GPU~94
SenseNova Loop 9B PreviewSenseNova2026-10-289.7B–Q6_Kfully on GPU~36
LBS 27BinclusionAI2026-10-2627B–Q3_K_Mfully on GPU~22
WeVisOne VL 4BTencent2026-10-224.8B–Q6_Kfully on GPU~70
WeVisOne VL 2BTencent2026-10-222.4B–Q6_Kfully on GPU~130
flintRecursiveSI2026-10-2140B MoE–Q6_KGPU + experts in RAM~64
Ling 3.0 flash SanteinclusionAI2026-10-19127B MoE–IQ2_XXSGPU + experts in RAM~44
Axion 1.0 35BAxion1-02026-10-1635B MoE–Q6_KGPU + experts in RAM~34
NVIDIA Nemotron Labs Dory1.0 4B BF16NVIDIA2026-10-164B–Q6_Kfully on GPU~84
NVIDIA Nemotron Labs Dory1.0 4B MXFP8NVIDIA2026-10-164B–Q6_Kfully on GPU~84
Hy Memory 30B A3BTencent2026-10-1530B MoE–Q6_KGPU + experts in RAM~24
granite switch 4.1 8bIBM2026-10-148.8B–Q6_Kfully on GPU~40
granite switch 4.1 30bIBM2026-10-1430B–Q3_K_Msplit GPU / CPU~5
Youtu Parsing OmniTencent2026-10-095.3B–Q6_Kfully on GPU~64
MiniCPM5 2BOpenbmb2026-09-062.5B–Q6_Kfully on GPU~130
tiny aya en thinkerCohere2026-09-023.4B–Q6_Kfully on GPU~98
tiny aya l2 thinkerCohere2026-09-023.4B–Q6_Kfully on GPU~98
Qwen3.8 Flash NextQwen2026-08-24125B MoE–Stratavia Strata~62
Muse GlimmerMeta2026-08-1030B–IQ3_XXSfully on GPU~26
Ling 3.0 tinyinclusionAI2026-08-107.9B MoE–Q6_Kfully on GPU~210
North Micro Vision InstructCohere2026-08-102.5B–Q6_Kfully on GPU~130
Muse Glimmer 30B assistantMeta2026-08-0930B–IQ3_XXSfully on GPU~25
Mage VLMicrosoft2026-07-254.7B–Q6_Kfully on GPU~72
Gemma 4 E4BGoogle2026-07-028B–Q6_Kfully on GPU~44
Gemma 4 E2BGoogle2026-07-025.1B–Q6_Kfully on GPU~67
DiffusionGemma 26B-A4BDeepMind2026-06-1026B MoE–IQ4_XSfully on GPU~120
Gemma 4 12BGoogle2026-06-0312B–Q6_Kfully on GPU~30
Granite 4.1 30BIBM2026-04-2929B–Q3_K_Msplit GPU / CPU~6
Granite 4.1 8BIBM2026-04-298.8B–Q6_Kfully on GPU~40
Qwen3.5-4BQwen2026-02-244.7B–Q6_Kfully on GPU~73
Qwen3.5-2BQwen2026-02-242.3B–Q6_Kfully on GPU~140
Qwen3.5-0.8BQwen2026-02-240.9B–Q6_Kfully on GPU~300
Qwen3.5 27BQwen2026-02-2328B–IQ3_XXSfully on GPU~27
Qwen3.5 122B-A10BQwen2026-02-23125B MoE–IQ2_XXSGPU + experts in RAM~39
Qwen3-Coder-NextQwen2026-02-0280B MoE–Q3_K_MGPU + experts in RAM~42
GLM-4.7-FlashZ.ai2026-01-1931B MoE–Q6_KGPU + experts in RAM~25
Solar Open 100BUpstage2025-12-31103B MoE–IQ2_MGPU + experts in RAM~17
Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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