Your rig

GeForce RTX 4060 Ti 16 GB · 16 GB

64 GB system RAM · Ada Lovelace · 288 GB/s · 14.4 GB usable VRAM
Edit hardware Export as JSON

Context length

KV cache at f16, 4K tokens

Quality floor
Q8_0 — near-lossless Q6_K Q5_K_M Q4_K_M — recommended Q3_K_M Q2_K — damaged
KV cache type
System RAM (GB)
Runtime
Ollamallama.cppLM StudiovLLM

4 of 5 runtimes drive this device.

Allow CPU offload Include partial-offload fits

Offloaded layers run at 60 GB/s host bandwidth — expect single-digit tokens per second.

Which one should I actually run?

Best models for your GeForce RTX 4060 Ti 16 GB

Updated 21 Aug 2026 5 new this week, 14 this month

What do you want to do? Each row is the best-ranked model on that use case's shortlist that fits at Q5_K_M and 4K. The ordering is editorial; the sizes and speeds are computed. How the shortlists work.

RecommendationModelWhyQuant · totalTok/s est.
Best overall Gemma 4 12B
Google · Apache 2.0
The 12 GB generalist: text, image and audio in, 140+ languages. Q5_K_M · 9.1 GB 22 Runs great
Best for coding Qwen3.5 9B
Alibaba · Apache 2.0
The best coding model for 8–12 GB cards. Q5_K_M · 7.1 GB 27 Runs great
Best reasoning gpt-oss 20B
OpenAI · Apache 2.0
Low/medium/high reasoning effort in 13 GB. MXFP4 · 11.5 GB 36 Runs great
Best for writing Gemma 4 12B
Google · Apache 2.0
The 12 GB writing pick; 140+ languages. Q5_K_M · 9.1 GB 22 Runs great
Best vision Gemma 4 12B
Google · Apache 2.0
Image and audio understanding on 12 GB. Q5_K_M · 9.1 GB 22 Runs great
Best for agents gpt-oss 20B
OpenAI · Apache 2.0
Harmony-format tool calling, native 4-bit. MXFP4 · 11.5 GB 36 Runs great
Best translation Gemma 4 12B
Google · Apache 2.0
Broad language coverage on a 12 GB card. Q5_K_M · 9.1 GB 22 Runs great
Fastest good model gpt-oss 20B
OpenAI · Apache 2.0
3.6B active, native 4-bit. MXFP4 · 11.5 GB 36 Runs great
Best long context Qwen3.5 9B
Alibaba · Apache 2.0
262K native in 8–12 GB. Q5_K_M · 11.0 GB
at 128K context
27 Runs great

Everything that fits

Runs great

38 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 4KTotal VRAM headroom Tok/sRuntime
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 0.10 GB 11.5 GB
2.9 GB free
36 Ollama Run
Qwen3 14B 14.8B Q5_K_M 9.8 GB 0.63 GB 11.0 GB
3.4 GB free
18 Ollama Run
DeepSeek-R1-Distill-Qwen 14B 14.8B Q5_K_M 9.8 GB 0.75 GB 11.1 GB
3.3 GB free
18 Ollama Run
Qwen2.5-Coder 14B 14.8B Q5_K_M 9.8 GB 0.75 GB 11.1 GB
3.3 GB free
18 Ollama Run
Phi-4 14B 14.7B Q5_K_M 9.7 GB 0.78 GB 11.1 GB
3.3 GB free
18 Ollama Run
Ministral 3 14B 13.9B Q5_K_M 9.2 GB 0.63 GB 10.4 GB
4.0 GB free
19 Ollama Run
Gemma 3 12B 12.2B Q5_K_M 8.1 GB 0.56 GB 9.2 GB
5.2 GB free
22 Ollama Run
Mistral NeMo 12B 12.2B Q5_K_M 8.1 GB 0.63 GB 9.3 GB
5.1 GB free
22 Ollama Run
Gemma 4 12B 12B Q5_K_M 7.9 GB 0.56 GB 9.1 GB
5.3 GB free
22 Ollama Run
Qwen3.5 9B 9.65B Q5_K_M 6.4 GB 0.13 GB 7.1 GB
7.3 GB free
27 Ollama Run
Ornith 1.5 9B New this week 9.41B Q5_K_M 6.2 GB 0.13 GB 6.9 GB
7.5 GB free
28 Ollama Run
Ministral 3 8B 8.92B Q5_K_M 5.9 GB 0.53 GB 7.0 GB
7.4 GB free
30 Ollama Run
Granite 4.1 8B 8.79B Q5_K_M 5.8 GB 0.63 GB 7.0 GB
7.4 GB free
30 Ollama Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q5_K_M 5.6 GB 0.05 GB 6.2 GB
8.2 GB free
68 Ollama Run
Fara 7B 8.29B Q5_K_M 5.5 GB 0.22 GB 6.3 GB
8.1 GB free
32 llama.cpp Run
Qwen3 8B 8.19B Q5_K_M 5.4 GB 0.56 GB 6.6 GB
7.8 GB free
32 Ollama Run
Llama 3.1 8B Instruct 8.03B Q5_K_M 5.3 GB 0.50 GB 6.4 GB
8.0 GB free
33 Ollama Run
Gemma 4 E4B 8.0B Q5_K_M 5.3 GB 0.09 GB 6.0 GB
8.4 GB free
33 Ollama Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q5_K_M 5.2 GB 0.03 GB 5.8 GB
8.6 GB free
78 llama.cpp Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q5_K_M 5.0 GB 0.22 GB 5.8 GB
8.6 GB free
35 Ollama Run
Qwen2.5-Coder 7B 7.62B Q5_K_M 5.0 GB 0.22 GB 5.8 GB
8.6 GB free
35 Ollama Run
Olmo 3 7B Instruct 7.3B Q5_K_M 4.8 GB 2.00 GB 7.4 GB
7.0 GB free
36 Ollama Run
Mistral 7B Instruct v0.3 7.25B Q5_K_M 4.8 GB 0.50 GB 5.9 GB
8.5 GB free
36 Ollama Run
Gemma 4 E2B 5.1B Q5_K_M 3.4 GB 0.04 GB 4.0 GB
10.4 GB free
52 Ollama Run
Qwen3.5 4B 4.66B Q5_K_M 3.1 GB 0.13 GB 3.8 GB
10.6 GB free
57 Ollama Run
Gemma 3 4B 4.3B Q5_K_M 2.8 GB 0.20 GB 3.6 GB
10.8 GB free
61 Ollama Run
Qwen3 4B 4.02B Q5_K_M 2.7 GB 0.56 GB 3.8 GB
10.6 GB free
66 Ollama Run
Ministral 3 3B 3.85B Q5_K_M 2.5 GB 0.41 GB 3.5 GB
10.9 GB free
69 Ollama Run
Phi-4-mini 3.8B 3.84B Q5_K_M 2.5 GB 0.50 GB 3.6 GB
10.8 GB free
69 Ollama Run
Granite 4.1 3B 3.4B Q5_K_M 2.2 GB 0.31 GB 3.2 GB
11.2 GB free
78 Ollama Run
Llama 3.2 3B Instruct 3.21B Q5_K_M 2.1 GB 0.44 GB 3.2 GB
11.2 GB free
82 Ollama Run
LFM2.5 2.6B New 2.7B Q5_K_M 1.8 GB 0.06 GB 2.4 GB
12.0 GB free
98 llama.cpp Run
Qwen3.5 2B 2.27B Q5_K_M 1.5 GB 0.05 GB 2.1 GB
12.3 GB free
116 Ollama Run
Qwen3 1.7B 1.72B Q5_K_M 1.1 GB 0.44 GB 2.2 GB
12.2 GB free
154 Ollama Run
Llama 3.2 1B Instruct 1.24B Q5_K_M 0.8 GB 0.13 GB 1.5 GB
12.9 GB free
213 Ollama Run
Gemma 3 1B 1.0B Q5_K_M 0.7 GB 0.03 GB 1.3 GB
13.1 GB free
264 Ollama Run
Qwen3.5 0.8B 0.87B Q5_K_M 0.6 GB 0.05 GB 1.2 GB
13.2 GB free
304 Ollama Run
Qwen3 0.6B 0.6B Q5_K_M 0.4 GB 0.44 GB 1.4 GB
13.0 GB free
440 Ollama Run

Won't fit in VRAM

38 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 4KTotal Over budget Tok/sRuntime
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 0.15 GB 61.3 GB +46.9 GB ~6.4 llama.cpp Why
Llama 3.3 70B Instruct 70.6B Q5_K_M 46.6 GB 1.25 GB 48.5 GB +34.1 GB ~1.0 llama.cpp Why
DeepSeek-R1-Distill-Llama 70B 70.6B Q5_K_M 46.6 GB 1.25 GB 48.5 GB +34.1 GB ~1.0 llama.cpp Why
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q5_K_M 23.7 GB 0.08 GB 24.4 GB +10.0 GB ~12 llama.cpp Why
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q5_K_M 23.7 GB 0.08 GB 24.4 GB +10.0 GB ~12 llama.cpp Why
LLM-jp 4 33B Thinking New this week 33.2B Q5_K_M 21.9 GB 1.00 GB 23.5 GB +9.1 GB ~3.1 llama.cpp Why
Qwen3 32B 32.8B Q5_K_M 21.7 GB 1.00 GB 23.3 GB +8.9 GB ~3.2 llama.cpp Why
DeepSeek-R1-Distill-Qwen 32B 32.8B Q5_K_M 21.7 GB 1.00 GB 23.3 GB +8.9 GB ~3.2 llama.cpp Why
Qwen2.5-Coder 32B 32.8B Q5_K_M 21.7 GB 1.00 GB 23.3 GB +8.9 GB ~3.2 llama.cpp Why
Olmo 3.1 32B Instruct 32.2B Q5_K_M 21.3 GB 1.00 GB 22.9 GB +8.5 GB ~3.3 llama.cpp Why
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q5_K_M 20.9 GB 0.02 GB 21.5 GB +7.1 GB ~14 llama.cpp Why
Gemma 4 31B 31.3B Q5_K_M 20.7 GB 1.41 GB 22.7 GB +8.3 GB ~3.3 llama.cpp Why
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q5_K_M 20.6 GB 0.21 GB 21.4 GB +7.0 GB ~15 llama.cpp Why
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q5_K_M 20.1 GB 0.38 GB 21.1 GB +6.7 GB ~14 llama.cpp Why
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q5_K_M 20.1 GB 0.38 GB 21.1 GB +6.7 GB ~14 llama.cpp Why
Muse Glimmer 30B New 29.8B Q5_K_M 19.7 GB 0.13 GB 20.4 GB +6.0 GB ~4.1 llama.cpp Why
Granite 4.1 30B 28.9B Q5_K_M 19.1 GB 1.00 GB 20.7 GB +6.3 GB ~4.1 llama.cpp Why
Qwen3.8 27B New this week 27.8B Q5_K_M 18.4 GB 0.25 GB 19.2 GB +4.8 GB ~4.8 llama.cpp Why
Qwen3.6 27B 27.8B Q5_K_M 18.4 GB 0.25 GB 19.2 GB +4.8 GB ~4.8 llama.cpp Why
Gemma 3 27B 27.4B Q5_K_M 18.1 GB 0.72 GB 19.4 GB +5.0 GB ~4.7 llama.cpp Why
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q5_K_M 17.5 GB 0.35 GB 18.4 GB +4.0 GB ~14 llama.cpp Why
Devstral Small 2 24B 24B Q5_K_M 15.8 GB 0.63 GB 17.1 GB +2.7 GB ~6.7 llama.cpp Why
Mistral Small 3.2 24B 23.6B Q5_K_M 15.6 GB 0.63 GB 16.8 GB +2.4 GB ~7.1 llama.cpp Why
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q5_K_M 1835.0 GB 0.11 GB 1835.7 GB +1821.3 GB ~0.2 llama.cpp Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q5_K_M 1614.5 GB 0.36 GB 1615.5 GB +1601.1 GB ~0.2 llama.cpp Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q5_K_M 1089.1 GB 0.27 GB 1090.0 GB +1075.6 GB ~0.4 llama.cpp Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q5_K_M 677.9 GB 0.27 GB 678.8 GB +664.4 GB ~0.7 llama.cpp Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q5_K_M 497.0 GB 0.34 GB 498.0 GB +483.6 GB ~0.5 llama.cpp Why
DeepSeek-R1 671B 671B MoE / 37B act Q5_K_M 442.9 GB 0.27 GB 443.8 GB +429.4 GB ~0.6 llama.cpp Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q5_K_M 266.0 GB 0.12 GB 266.7 GB +252.3 GB ~1.3 llama.cpp Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q5_K_M 262.0 GB 0.12 GB 262.8 GB +248.4 GB ~1.3 llama.cpp Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q5_K_M 187.5 GB 0.19 GB 188.3 GB +173.9 GB ~1.7 llama.cpp Why
Qwen3 235B-A22B 235B MoE / 22B act Q5_K_M 155.1 GB 0.73 GB 156.5 GB +142.1 GB ~1.0 llama.cpp Why
Qwen3.5 122B-A10B 125B MoE / 10B act Q5_K_M 82.5 GB 0.09 GB 83.2 GB +68.8 GB ~2.4 llama.cpp Why
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q5_K_M 81.8 GB 0.03 GB 82.5 GB +68.1 GB ~2.0 llama.cpp Why
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q5_K_M 81.8 GB 0.03 GB 82.5 GB +68.1 GB ~4.8 llama.cpp Why
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q5_K_M 78.5 GB 0.09 GB 79.2 GB +64.8 GB ~3.8 llama.cpp Why
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q5_K_M 71.9 GB 0.75 GB 73.3 GB +58.9 GB ~1.5 llama.cpp Why

Totals = quantised weights + f16 KV cache at 4K tokens + 0.6 GB runtime overhead, against 14.4 GB usable VRAM (16 GB less display and driver reserve). Tokens per second are estimated from 288 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.