Your rig
GeForce RTX 4060 · 8 GB
8 GB system RAM · Ada Lovelace · 272 GB/s · 7.0 GB usable VRAM
Which one should I actually run?
Best models for your GeForce RTX 4060
What do you want to do? Each row is the best-ranked model on that use case's shortlist that fits at Q4_K_M and 32K. The ordering is editorial; the sizes and speeds are computed. How the shortlists work.
All
General assistantCodingReasoning & mathsWritingVisionAgents & tool useTranslationLow latencyLong context
| Recommendation | Model | Why | Quant · total | Tok/s est. | |
|---|---|---|---|---|---|
| Best overall | Gemma 4 E4B Google · Apache 2.0 |
Laptop class with images and audio in. | Q4_K_M · 5.6 GB | 37 | Runs great |
| Best for coding | Qwen3.5 4B Alibaba · Apache 2.0 |
A coding agent in 3.4 GB — the 6–8 GB answer. | Q4_K_M · 4.2 GB | 63 | Runs great |
| Best reasoning | Qwen3.5 4B Alibaba · Apache 2.0 |
Step-by-step reasoning in 8 GB. | Q4_K_M · 4.2 GB | 63 | Runs great |
| Best for writing | Gemma 4 E4B Google · Apache 2.0 |
Readable prose on a laptop. | Q4_K_M · 5.6 GB | 37 | Runs great |
| Best vision | Gemma 4 E4B Google · Apache 2.0 |
Laptop vision, audio too. | Q4_K_M · 5.6 GB | 37 | Runs great |
| Best for agents | Qwen3.5 4B Alibaba · Apache 2.0 |
Function calling in 8 GB. | Q4_K_M · 4.2 GB | 63 | Runs great |
| Best translation | Gemma 4 E4B Google · Apache 2.0 |
140+ languages on a laptop. | Q4_K_M · 5.6 GB | 37 | Runs great |
| Fastest good model | LFM2.5 8B-A1B Liquid AI · LFM Open License v1.0 |
1.5B active; designed for laptops without a GPU. | Q4_K_M · 5.7 GB | 75 | Runs great |
| Best long context | Qwen3.5 2B Alibaba · Apache 2.0 |
Long documents on 4 GB. | Q4_K_M · 3.4 GB at 128K context |
129 | Runs great |
Everything that fits
Runs great
15 of 76 · fits with headroom for a longer prompt| Model | Params | Quant | Weights | +KV 32K | Total | VRAM headroom | Tok/s | Runtime | |
|---|---|---|---|---|---|---|---|---|---|
| LFM2.5 8B-A1B | 8.47B MoE / 1.5B act | Q4_K_M | 4.8 GB | 0.38 GB | 5.7 GB |
1.3 GB free
|
75 | Ollama | Run |
| Gemma 4 E4B | 8.0B | Q4_K_M | 4.5 GB | 0.47 GB | 5.6 GB |
1.4 GB free
|
37 | Ollama | Run |
| Ling 3.0 Tiny 7.9B-A1.3B New | 7.9B MoE / 1.3B act | Q4_K_M | 4.4 GB | 0.21 GB | 5.3 GB |
1.7 GB free
|
87 | llama.cpp | Run |
| Gemma 4 E2B | 5.1B | Q4_K_M | 2.9 GB | 0.23 GB | 3.7 GB |
3.3 GB free
|
57 | Ollama | Run |
| Qwen3.5 4B | 4.66B | Q4_K_M | 2.6 GB | 1.00 GB | 4.2 GB |
2.8 GB free
|
63 | Ollama | Run |
| Gemma 3 4B | 4.3B | Q4_K_M | 2.4 GB | 0.86 GB | 3.9 GB |
3.1 GB free
|
68 | Ollama | Run |
| Granite 4.1 3B | 3.4B | Q4_K_M | 1.9 GB | 2.50 GB | 5.0 GB |
2.0 GB free
|
86 | Ollama | Run |
| Llama 3.2 3B Instruct | 3.21B | Q4_K_M | 1.8 GB | 3.50 GB | 5.9 GB |
1.1 GB free
|
91 | Ollama | Run |
| LFM2.5 2.6B New | 2.7B | Q4_K_M | 1.5 GB | 0.50 GB | 2.6 GB |
4.4 GB free
|
108 | llama.cpp | Run |
| Qwen3.5 2B | 2.27B | Q4_K_M | 1.3 GB | 0.38 GB | 2.3 GB |
4.7 GB free
|
129 | Ollama | Run |
| Qwen3 1.7B | 1.72B | Q4_K_M | 1.0 GB | 3.50 GB | 5.1 GB |
1.9 GB free
|
170 | Ollama | Run |
| Llama 3.2 1B Instruct | 1.24B | Q4_K_M | 0.7 GB | 1.00 GB | 2.3 GB |
4.7 GB free
|
236 | Ollama | Run |
| Gemma 3 1B | 1.0B | Q4_K_M | 0.6 GB | 0.14 GB | 1.3 GB |
5.7 GB free
|
293 | Ollama | Run |
| Qwen3.5 0.8B | 0.87B | Q4_K_M | 0.5 GB | 0.38 GB | 1.5 GB |
5.5 GB free
|
337 | Ollama | Run |
| Qwen3 0.6B | 0.6B | Q4_K_M | 0.3 GB | 3.50 GB | 4.4 GB |
2.6 GB free
|
488 | Ollama | Run |
Runs — tight
5 models · fits at 32K, drop context or quant to go longer| Model | Params | Quant | Weights | +KV 32K | Total | VRAM headroom | Tok/s | Runtime | |
|---|---|---|---|---|---|---|---|---|---|
| Ornith 1.5 9B New this week | 9.41B | Q4_K_M | 5.3 GB | 1.00 GB | 6.9 GB |
0.1 GB free
|
31 | llama.cpp | Run |
| DeepSeek-R1-Distill-Qwen 7B | 7.62B | Q4_K_M | 4.3 GB | 1.75 GB | 6.6 GB |
0.4 GB free
|
38 | llama.cpp | Run |
| Qwen2.5-Coder 7B | 7.62B | Q4_K_M | 4.3 GB | 1.75 GB | 6.6 GB |
0.4 GB free
|
38 | llama.cpp | Run |
| Ministral 3 3B | 3.85B | Q4_K_M | 2.2 GB | 3.25 GB | 6.0 GB |
1.0 GB free
|
76 | llama.cpp | Run |
| Phi-4-mini 3.8B | 3.84B | Q4_K_M | 2.2 GB | 4.00 GB | 6.8 GB |
0.2 GB free
|
76 | llama.cpp | Run |
Won't fit in VRAM
56 models · some are possible with CPU offload| Model | Params | Quant | Weights | +KV 32K | Total | Over budget | Tok/s | Runtime | |
|---|---|---|---|---|---|---|---|---|---|
| gpt-oss 20B | 20.9B MoE / 3.6B act | MXFP4 | 10.8 GB | 0.75 GB | 12.2 GB | +5.2 GB | ~13 | llama.cpp | Why |
| Phi-4 14B | 14.7B | Q4_K_M | 8.3 GB | 3.13 GB | 12.0 GB | +5.0 GB | ~6.4 | llama.cpp | Why |
| Ministral 3 14B | 13.9B | Q4_K_M | 7.8 GB | 5.00 GB | 13.4 GB | +6.4 GB | ~5.4 | llama.cpp | Why |
| Gemma 3 12B | 12.2B | Q4_K_M | 6.9 GB | 2.31 GB | 9.8 GB | +2.8 GB | ~9.9 | llama.cpp | Why |
| Mistral NeMo 12B | 12.2B | Q4_K_M | 6.9 GB | 5.00 GB | 12.5 GB | +5.5 GB | ~6.3 | llama.cpp | Why |
| Gemma 4 12B | 12B | Q4_K_M | 6.7 GB | 2.31 GB | 9.7 GB | +2.7 GB | ~10 | llama.cpp | Why |
| Qwen3.5 9B | 9.65B | Q4_K_M | 5.4 GB | 1.00 GB | 7.0 GB | +0.0 GB | ~30 | llama.cpp | Why |
| Ministral 3 8B | 8.92B | Q4_K_M | 5.0 GB | 4.25 GB | 9.9 GB | +2.9 GB | ~11 | llama.cpp | Why |
| Granite 4.1 8B | 8.79B | Q4_K_M | 4.9 GB | 5.00 GB | 10.5 GB | +3.5 GB | ~9.4 | llama.cpp | Why |
| Fara 7B | 8.29B | Q4_K_M | 4.7 GB | 1.75 GB | 7.0 GB | +0.0 GB | ~35 | llama.cpp | Why |
| Qwen3 8B | 8.19B | Q4_K_M | 4.6 GB | 4.50 GB | 9.7 GB | +2.7 GB | ~12 | llama.cpp | Why |
| Llama 3.1 8B Instruct | 8.03B | Q4_K_M | 4.5 GB | 4.00 GB | 9.1 GB | +2.1 GB | ~14 | llama.cpp | Why |
| Olmo 3 7B Instruct | 7.3B | Q4_K_M | 4.1 GB | 5.50 GB | 10.2 GB | +3.2 GB | ~11 | llama.cpp | Why |
| Mistral 7B Instruct v0.3 | 7.25B | Q4_K_M | 4.1 GB | 4.00 GB | 8.7 GB | +1.7 GB | ~16 | llama.cpp | Why |
| Qwen3 4B | 4.02B | Q4_K_M | 2.3 GB | 4.50 GB | 7.4 GB | +0.4 GB | ~47 | llama.cpp | Why |
| Kimi K3 2.8T-A104B New | 2780B MoE / 104B act | Q4_K_M | 1563.2 GB | 0.84 GB | 1564.6 GB | +1557.6 GB | ~0.2 | llama.cpp | Why |
| Qwen3.8 2.4T-A95B New | 2446B MoE / 95B act | Q4_K_M | 1375.4 GB | 2.88 GB | 1378.8 GB | +1371.8 GB | ~0.3 | llama.cpp | Why |
| DeepSeek V4 Pro 1.6T-A49B New | 1650B MoE / 49B act | Q4_K_M | 927.8 GB | 2.14 GB | 930.5 GB | +923.5 GB | ~0.5 | llama.cpp | Why |
| Kimi K2.6 1T-A32B | 1027B MoE / 32B act | Q4_K_M | 577.5 GB | 2.14 GB | 580.2 GB | +573.2 GB | ~0.8 | llama.cpp | Why |
| GLM-5.2 744B-A40B | 753B MoE / 40B act | Q4_K_M | 423.4 GB | 2.74 GB | 426.7 GB | +419.7 GB | ~0.6 | llama.cpp | Why |
| DeepSeek-R1 671B | 671B MoE / 37B act | Q4_K_M | 377.3 GB | 2.14 GB | 380.0 GB | +373.0 GB | ~0.7 | llama.cpp | Why |
| Qwen3.5 397B-A17B | 403B MoE / 17B act | Q4_K_M | 226.6 GB | 0.94 GB | 228.1 GB | +221.1 GB | ~1.5 | llama.cpp | Why |
| Ornith 1.5 397B-A17B New this week | 397B MoE / 17B act | Q4_K_M | 223.2 GB | 0.94 GB | 224.8 GB | +217.8 GB | ~1.5 | llama.cpp | Why |
| DeepSeek V4 Flash 284B-A13B New | 284B MoE / 13B act | Q4_K_M | 159.7 GB | 1.51 GB | 161.8 GB | +154.8 GB | ~2.0 | llama.cpp | Why |
| Qwen3 235B-A22B | 235B MoE / 22B act | Q4_K_M | 132.1 GB | 5.88 GB | 138.6 GB | +131.6 GB | ~1.1 | llama.cpp | Why |
| Qwen3.5 122B-A10B | 125B MoE / 10B act | Q4_K_M | 70.3 GB | 0.75 GB | 71.6 GB | +64.6 GB | ~2.7 | llama.cpp | Why |
| Nemotron 3 Super 120B-A12B | 124B MoE / 12B act | Q4_K_M | 69.7 GB | 0.25 GB | 70.6 GB | +63.6 GB | ~2.2 | llama.cpp | Why |
| Ling 3.0 Flash 124B-A5B New | 124B MoE / 5.1B act | Q4_K_M | 69.7 GB | 0.25 GB | 70.6 GB | +63.6 GB | ~5.2 | llama.cpp | Why |
| Mistral Small 4 119B-A6B | 119B MoE / 6.5B act | Q4_K_M | 66.9 GB | 0.70 GB | 68.2 GB | +61.2 GB | ~4.1 | llama.cpp | Why |
| gpt-oss 120B | 117B MoE / 5.1B act | MXFP4 | 60.5 GB | 1.13 GB | 62.2 GB | +55.2 GB | ~5.7 | llama.cpp | Why |
| Llama 4 Scout 109B-A17B | 109B MoE / 17B act | Q4_K_M | 61.3 GB | 2.63 GB | 64.5 GB | +57.5 GB | ~1.5 | llama.cpp | Why |
| Llama 3.3 70B Instruct | 70.6B | Q4_K_M | 39.7 GB | 10.00 GB | 50.3 GB | +43.3 GB | ~0.9 | llama.cpp | Why |
| DeepSeek-R1-Distill-Llama 70B | 70.6B | Q4_K_M | 39.7 GB | 10.00 GB | 50.3 GB | +43.3 GB | ~0.9 | llama.cpp | Why |
| Qwen3.6 35B-A3B | 35.9B MoE / 3.3B act | Q4_K_M | 20.2 GB | 0.63 GB | 21.4 GB | +14.4 GB | ~9.7 | llama.cpp | Why |
| Ornith 1.5 35B-A3B New this week | 35.9B MoE / 3.3B act | Q4_K_M | 20.2 GB | 0.63 GB | 21.4 GB | +14.4 GB | ~9.7 | llama.cpp | Why |
| LLM-jp 4 33B Thinking New this week | 33.2B | Q4_K_M | 18.7 GB | 8.00 GB | 27.3 GB | +20.3 GB | ~1.9 | llama.cpp | Why |
| Qwen3 32B | 32.8B | Q4_K_M | 18.4 GB | 8.00 GB | 27.0 GB | +20.0 GB | ~2.0 | llama.cpp | Why |
| DeepSeek-R1-Distill-Qwen 32B | 32.8B | Q4_K_M | 18.4 GB | 8.00 GB | 27.0 GB | +20.0 GB | ~2.0 | llama.cpp | Why |
| Qwen2.5-Coder 32B | 32.8B | Q4_K_M | 18.4 GB | 8.00 GB | 27.0 GB | +20.0 GB | ~2.0 | llama.cpp | Why |
| Olmo 3.1 32B Instruct | 32.2B | Q4_K_M | 18.1 GB | 2.75 GB | 21.5 GB | +14.5 GB | ~2.4 | llama.cpp | Why |
| Nemotron 3.5 Lightning 30B-A3B New | 31.6B MoE / 3.2B act | Q4_K_M | 17.8 GB | 0.19 GB | 18.6 GB | +11.6 GB | ~11 | llama.cpp | Why |
| Gemma 4 31B | 31.3B | Q4_K_M | 17.6 GB | 5.78 GB | 24.0 GB | +17.0 GB | ~2.1 | llama.cpp | Why |
| GLM-4.7-Flash 30B-A3B | 31.2B MoE / 3B act | Q4_K_M | 17.5 GB | 1.65 GB | 19.8 GB | +12.8 GB | ~10 | llama.cpp | Why |
| Qwen3 30B-A3B | 30.5B MoE / 3.3B act | Q4_K_M | 17.1 GB | 3.00 GB | 20.7 GB | +13.7 GB | ~8.9 | llama.cpp | Why |
| Qwen3 Coder 30B-A3B | 30.5B MoE / 3.3B act | Q4_K_M | 17.1 GB | 3.00 GB | 20.7 GB | +13.7 GB | ~8.9 | llama.cpp | Why |
| Muse Glimmer 30B New | 29.8B | Q4_K_M | 16.8 GB | 0.48 GB | 17.8 GB | +10.8 GB | ~3.0 | llama.cpp | Why |
| Granite 4.1 30B | 28.9B | Q4_K_M | 16.3 GB | 8.00 GB | 24.9 GB | +17.9 GB | ~2.2 | llama.cpp | Why |
| Qwen3.8 27B New this week | 27.8B | Q4_K_M | 15.6 GB | 2.00 GB | 18.2 GB | +11.2 GB | ~3.0 | llama.cpp | Why |
| Qwen3.6 27B | 27.8B | Q4_K_M | 15.6 GB | 2.00 GB | 18.2 GB | +11.2 GB | ~3.0 | llama.cpp | Why |
| Gemma 3 27B | 27.4B | Q4_K_M | 15.4 GB | 2.91 GB | 18.9 GB | +11.9 GB | ~2.9 | llama.cpp | Why |
| Gemma 4 26B-A4B | 26.5B MoE / 3.8B act | Q4_K_M | 14.9 GB | 1.45 GB | 16.9 GB | +9.9 GB | ~8.8 | llama.cpp | Why |
| Devstral Small 2 24B | 24B | Q4_K_M | 13.5 GB | 5.00 GB | 19.1 GB | +12.1 GB | ~2.9 | llama.cpp | Why |
| Mistral Small 3.2 24B | 23.6B | Q4_K_M | 13.3 GB | 5.00 GB | 18.9 GB | +11.9 GB | ~3.0 | llama.cpp | Why |
| Qwen3 14B | 14.8B | Q4_K_M | 8.3 GB | 5.00 GB | 13.9 GB | +6.9 GB | ~5.0 | llama.cpp | Why |
| DeepSeek-R1-Distill-Qwen 14B | 14.8B | Q4_K_M | 8.3 GB | 6.00 GB | 14.9 GB | +7.9 GB | ~4.5 | llama.cpp | Why |
| Qwen2.5-Coder 14B | 14.8B | Q4_K_M | 8.3 GB | 6.00 GB | 14.9 GB | +7.9 GB | ~4.5 | llama.cpp | Why |
Totals = quantised weights + f16 KV cache at 32K tokens + 0.6 GB runtime overhead, against 7.0 GB usable VRAM (8 GB less display and driver reserve). Tokens per second are estimated from 272 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.