Your rig
GeForce RTX 3070 Ti · 8 GB
32 GB system RAM · Ampere · 608 GB/s · 7.0 GB usable VRAM
Which one should I actually run?
Best models for your GeForce RTX 3070 Ti
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 4K. 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 · 5.2 GB | 82 | 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 · 3.3 GB | 140 | Runs great |
| Best reasoning | Qwen3.5 4B Alibaba · Apache 2.0 |
Step-by-step reasoning in 8 GB. | Q4_K_M · 3.3 GB | 140 | Runs great |
| Best for writing | Gemma 4 E4B Google · Apache 2.0 |
Readable prose on a laptop. | Q4_K_M · 5.2 GB | 82 | Runs great |
| Best vision | Gemma 4 E4B Google · Apache 2.0 |
Laptop vision, audio too. | Q4_K_M · 5.2 GB | 82 | Runs great |
| Best for agents | Fara 7B Microsoft · MIT |
Web computer-use only — clicks and fills forms from screenshots, and stops to ask before anything irreversible. | Q4_K_M · 5.5 GB | 79 | Runs great |
| Best translation | Gemma 4 E4B Google · Apache 2.0 |
140+ languages on a laptop. | Q4_K_M · 5.2 GB | 82 | 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 · 5.4 GB | 168 | 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 |
288 | Runs great |
Everything that fits
Runs great
24 of 76 · fits with headroom for a longer prompt| Model | Params | Quant | Weights | +KV 4K | Total | VRAM headroom | Tok/s | Runtime | |
|---|---|---|---|---|---|---|---|---|---|
| LFM2.5 8B-A1B | 8.47B MoE / 1.5B act | Q4_K_M | 4.8 GB | 0.05 GB | 5.4 GB |
1.6 GB free
|
168 | Ollama | Run |
| Fara 7B | 8.29B | Q4_K_M | 4.7 GB | 0.22 GB | 5.5 GB |
1.5 GB free
|
79 | llama.cpp | Run |
| Qwen3 8B | 8.19B | Q4_K_M | 4.6 GB | 0.56 GB | 5.8 GB |
1.2 GB free
|
80 | Ollama | Run |
| Llama 3.1 8B Instruct | 8.03B | Q4_K_M | 4.5 GB | 0.50 GB | 5.6 GB |
1.4 GB free
|
82 | Ollama | Run |
| Gemma 4 E4B | 8.0B | Q4_K_M | 4.5 GB | 0.09 GB | 5.2 GB |
1.8 GB free
|
82 | Ollama | Run |
| Ling 3.0 Tiny 7.9B-A1.3B New | 7.9B MoE / 1.3B act | Q4_K_M | 4.4 GB | 0.03 GB | 5.1 GB |
1.9 GB free
|
194 | llama.cpp | Run |
| DeepSeek-R1-Distill-Qwen 7B | 7.62B | Q4_K_M | 4.3 GB | 0.22 GB | 5.1 GB |
1.9 GB free
|
86 | Ollama | Run |
| Qwen2.5-Coder 7B | 7.62B | Q4_K_M | 4.3 GB | 0.22 GB | 5.1 GB |
1.9 GB free
|
86 | Ollama | Run |
| Mistral 7B Instruct v0.3 | 7.25B | Q4_K_M | 4.1 GB | 0.50 GB | 5.2 GB |
1.8 GB free
|
90 | Ollama | Run |
| Gemma 4 E2B | 5.1B | Q4_K_M | 2.9 GB | 0.04 GB | 3.5 GB |
3.5 GB free
|
128 | Ollama | Run |
| Qwen3.5 4B | 4.66B | Q4_K_M | 2.6 GB | 0.13 GB | 3.3 GB |
3.7 GB free
|
140 | Ollama | Run |
| Gemma 3 4B | 4.3B | Q4_K_M | 2.4 GB | 0.20 GB | 3.2 GB |
3.8 GB free
|
152 | Ollama | Run |
| Qwen3 4B | 4.02B | Q4_K_M | 2.3 GB | 0.56 GB | 3.4 GB |
3.6 GB free
|
163 | Ollama | Run |
| Ministral 3 3B | 3.85B | Q4_K_M | 2.2 GB | 0.41 GB | 3.2 GB |
3.8 GB free
|
170 | Ollama | Run |
| Phi-4-mini 3.8B | 3.84B | Q4_K_M | 2.2 GB | 0.50 GB | 3.3 GB |
3.7 GB free
|
170 | Ollama | Run |
| Granite 4.1 3B | 3.4B | Q4_K_M | 1.9 GB | 0.31 GB | 2.8 GB |
4.2 GB free
|
193 | Ollama | Run |
| Llama 3.2 3B Instruct | 3.21B | Q4_K_M | 1.8 GB | 0.44 GB | 2.8 GB |
4.2 GB free
|
204 | Ollama | Run |
| LFM2.5 2.6B New | 2.7B | Q4_K_M | 1.5 GB | 0.06 GB | 2.2 GB |
4.8 GB free
|
242 | llama.cpp | Run |
| Qwen3.5 2B | 2.27B | Q4_K_M | 1.3 GB | 0.05 GB | 1.9 GB |
5.1 GB free
|
288 | Ollama | Run |
| Qwen3 1.7B | 1.72B | Q4_K_M | 1.0 GB | 0.44 GB | 2.0 GB |
5.0 GB free
|
381 | Ollama | Run |
| Llama 3.2 1B Instruct | 1.24B | Q4_K_M | 0.7 GB | 0.13 GB | 1.4 GB |
5.6 GB free
|
528 | Ollama | Run |
| Gemma 3 1B | 1.0B | Q4_K_M | 0.6 GB | 0.03 GB | 1.2 GB |
5.8 GB free
|
655 | Ollama | Run |
| Qwen3.5 0.8B | 0.87B | Q4_K_M | 0.5 GB | 0.05 GB | 1.1 GB |
5.9 GB free
|
752 | Ollama | Run |
| Qwen3 0.6B | 0.6B | Q4_K_M | 0.3 GB | 0.44 GB | 1.4 GB |
5.6 GB free
|
1091 | Ollama | Run |
Runs — tight
5 models · fits at 4K, drop context or quant to go longer| Model | Params | Quant | Weights | +KV 4K | Total | VRAM headroom | Tok/s | Runtime | |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.5 9B | 9.65B | Q4_K_M | 5.4 GB | 0.13 GB | 6.2 GB |
0.8 GB free
|
68 | llama.cpp | Run |
| Ornith 1.5 9B New this week | 9.41B | Q4_K_M | 5.3 GB | 0.13 GB | 6.0 GB |
1.0 GB free
|
70 | llama.cpp | Run |
| Ministral 3 8B | 8.92B | Q4_K_M | 5.0 GB | 0.53 GB | 6.1 GB |
0.9 GB free
|
73 | llama.cpp | Run |
| Granite 4.1 8B | 8.79B | Q4_K_M | 4.9 GB | 0.63 GB | 6.2 GB |
0.8 GB free
|
74 | llama.cpp | Run |
| Olmo 3 7B Instruct | 7.3B | Q4_K_M | 4.1 GB | 2.00 GB | 6.7 GB |
0.3 GB free
|
90 | llama.cpp | Run |
Won't fit in VRAM
47 models · some are possible with CPU offload| Model | Params | Quant | Weights | +KV 4K | Total | Over budget | Tok/s | Runtime | |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B-A3B | 35.9B MoE / 3.3B act | Q4_K_M | 20.2 GB | 0.08 GB | 20.9 GB | +13.9 GB | ~10 | llama.cpp | Why |
| Ornith 1.5 35B-A3B New this week | 35.9B MoE / 3.3B act | Q4_K_M | 20.2 GB | 0.08 GB | 20.9 GB | +13.9 GB | ~10 | llama.cpp | Why |
| LLM-jp 4 33B Thinking New this week | 33.2B | Q4_K_M | 18.7 GB | 1.00 GB | 20.3 GB | +13.3 GB | ~2.6 | llama.cpp | Why |
| Qwen3 32B | 32.8B | Q4_K_M | 18.4 GB | 1.00 GB | 20.0 GB | +13.0 GB | ~2.7 | llama.cpp | Why |
| DeepSeek-R1-Distill-Qwen 32B | 32.8B | Q4_K_M | 18.4 GB | 1.00 GB | 20.0 GB | +13.0 GB | ~2.7 | llama.cpp | Why |
| Qwen2.5-Coder 32B | 32.8B | Q4_K_M | 18.4 GB | 1.00 GB | 20.0 GB | +13.0 GB | ~2.7 | llama.cpp | Why |
| Olmo 3.1 32B Instruct | 32.2B | Q4_K_M | 18.1 GB | 1.00 GB | 19.7 GB | +12.7 GB | ~2.7 | llama.cpp | Why |
| Nemotron 3.5 Lightning 30B-A3B New | 31.6B MoE / 3.2B act | Q4_K_M | 17.8 GB | 0.02 GB | 18.4 GB | +11.4 GB | ~11 | llama.cpp | Why |
| Gemma 4 31B | 31.3B | Q4_K_M | 17.6 GB | 1.41 GB | 19.6 GB | +12.6 GB | ~2.8 | llama.cpp | Why |
| GLM-4.7-Flash 30B-A3B | 31.2B MoE / 3B act | Q4_K_M | 17.5 GB | 0.21 GB | 18.3 GB | +11.3 GB | ~12 | llama.cpp | Why |
| Qwen3 30B-A3B | 30.5B MoE / 3.3B act | Q4_K_M | 17.1 GB | 0.38 GB | 18.1 GB | +11.1 GB | ~11 | llama.cpp | Why |
| Qwen3 Coder 30B-A3B | 30.5B MoE / 3.3B act | Q4_K_M | 17.1 GB | 0.38 GB | 18.1 GB | +11.1 GB | ~11 | llama.cpp | Why |
| Muse Glimmer 30B New | 29.8B | Q4_K_M | 16.8 GB | 0.13 GB | 17.5 GB | +10.5 GB | ~3.3 | llama.cpp | Why |
| Granite 4.1 30B | 28.9B | Q4_K_M | 16.3 GB | 1.00 GB | 17.9 GB | +10.9 GB | ~3.2 | llama.cpp | Why |
| Qwen3.8 27B New this week | 27.8B | Q4_K_M | 15.6 GB | 0.25 GB | 16.5 GB | +9.5 GB | ~3.6 | llama.cpp | Why |
| Qwen3.6 27B | 27.8B | Q4_K_M | 15.6 GB | 0.25 GB | 16.5 GB | +9.5 GB | ~3.6 | llama.cpp | Why |
| Gemma 3 27B | 27.4B | Q4_K_M | 15.4 GB | 0.72 GB | 16.7 GB | +9.7 GB | ~3.5 | llama.cpp | Why |
| Gemma 4 26B-A4B | 26.5B MoE / 3.8B act | Q4_K_M | 14.9 GB | 0.35 GB | 15.9 GB | +8.9 GB | ~10 | llama.cpp | Why |
| Devstral Small 2 24B | 24B | Q4_K_M | 13.5 GB | 0.63 GB | 14.7 GB | +7.7 GB | ~4.4 | llama.cpp | Why |
| Mistral Small 3.2 24B | 23.6B | Q4_K_M | 13.3 GB | 0.63 GB | 14.5 GB | +7.5 GB | ~4.5 | llama.cpp | Why |
| gpt-oss 20B | 20.9B MoE / 3.6B act | MXFP4 | 10.8 GB | 0.10 GB | 11.5 GB | +4.5 GB | ~16 | llama.cpp | Why |
| Qwen3 14B | 14.8B | Q4_K_M | 8.3 GB | 0.63 GB | 9.5 GB | +2.5 GB | ~12 | llama.cpp | Why |
| DeepSeek-R1-Distill-Qwen 14B | 14.8B | Q4_K_M | 8.3 GB | 0.75 GB | 9.7 GB | +2.7 GB | ~11 | llama.cpp | Why |
| Qwen2.5-Coder 14B | 14.8B | Q4_K_M | 8.3 GB | 0.75 GB | 9.7 GB | +2.7 GB | ~11 | llama.cpp | Why |
| Phi-4 14B | 14.7B | Q4_K_M | 8.3 GB | 0.78 GB | 9.6 GB | +2.6 GB | ~11 | llama.cpp | Why |
| Ministral 3 14B | 13.9B | Q4_K_M | 7.8 GB | 0.63 GB | 9.0 GB | +2.0 GB | ~14 | llama.cpp | Why |
| Gemma 3 12B | 12.2B | Q4_K_M | 6.9 GB | 0.56 GB | 8.0 GB | +1.0 GB | ~23 | llama.cpp | Why |
| Mistral NeMo 12B | 12.2B | Q4_K_M | 6.9 GB | 0.63 GB | 8.1 GB | +1.1 GB | ~22 | llama.cpp | Why |
| Gemma 4 12B | 12B | Q4_K_M | 6.7 GB | 0.56 GB | 7.9 GB | +0.9 GB | ~24 | llama.cpp | Why |
| Kimi K3 2.8T-A104B New | 2780B MoE / 104B act | Q4_K_M | 1563.2 GB | 0.11 GB | 1563.9 GB | +1556.9 GB | ~0.2 | llama.cpp | Why |
| Qwen3.8 2.4T-A95B New | 2446B MoE / 95B act | Q4_K_M | 1375.4 GB | 0.36 GB | 1376.3 GB | +1369.3 GB | ~0.3 | llama.cpp | Why |
| DeepSeek V4 Pro 1.6T-A49B New | 1650B MoE / 49B act | Q4_K_M | 927.8 GB | 0.27 GB | 928.6 GB | +921.6 GB | ~0.5 | llama.cpp | Why |
| Kimi K2.6 1T-A32B | 1027B MoE / 32B act | Q4_K_M | 577.5 GB | 0.27 GB | 578.3 GB | +571.3 GB | ~0.8 | llama.cpp | Why |
| GLM-5.2 744B-A40B | 753B MoE / 40B act | Q4_K_M | 423.4 GB | 0.34 GB | 424.3 GB | +417.3 GB | ~0.6 | llama.cpp | Why |
| DeepSeek-R1 671B | 671B MoE / 37B act | Q4_K_M | 377.3 GB | 0.27 GB | 378.2 GB | +371.2 GB | ~0.7 | llama.cpp | Why |
| Qwen3.5 397B-A17B | 403B MoE / 17B act | Q4_K_M | 226.6 GB | 0.12 GB | 227.3 GB | +220.3 GB | ~1.5 | llama.cpp | Why |
| Ornith 1.5 397B-A17B New this week | 397B MoE / 17B act | Q4_K_M | 223.2 GB | 0.12 GB | 223.9 GB | +216.9 GB | ~1.5 | llama.cpp | Why |
| DeepSeek V4 Flash 284B-A13B New | 284B MoE / 13B act | Q4_K_M | 159.7 GB | 0.19 GB | 160.5 GB | +153.5 GB | ~2.0 | llama.cpp | Why |
| Qwen3 235B-A22B | 235B MoE / 22B act | Q4_K_M | 132.1 GB | 0.73 GB | 133.5 GB | +126.5 GB | ~1.2 | llama.cpp | Why |
| Qwen3.5 122B-A10B | 125B MoE / 10B act | Q4_K_M | 70.3 GB | 0.09 GB | 71.0 GB | +64.0 GB | ~2.7 | llama.cpp | Why |
| Nemotron 3 Super 120B-A12B | 124B MoE / 12B act | Q4_K_M | 69.7 GB | 0.03 GB | 70.4 GB | +63.4 GB | ~2.3 | llama.cpp | Why |
| Ling 3.0 Flash 124B-A5B New | 124B MoE / 5.1B act | Q4_K_M | 69.7 GB | 0.03 GB | 70.4 GB | +63.4 GB | ~5.3 | llama.cpp | Why |
| Mistral Small 4 119B-A6B | 119B MoE / 6.5B act | Q4_K_M | 66.9 GB | 0.09 GB | 67.6 GB | +60.6 GB | ~4.2 | llama.cpp | Why |
| gpt-oss 120B | 117B MoE / 5.1B act | MXFP4 | 60.5 GB | 0.15 GB | 61.3 GB | +54.3 GB | ~5.8 | llama.cpp | Why |
| Llama 4 Scout 109B-A17B | 109B MoE / 17B act | Q4_K_M | 61.3 GB | 0.75 GB | 62.6 GB | +55.6 GB | ~1.6 | llama.cpp | Why |
| Llama 3.3 70B Instruct | 70.6B | Q4_K_M | 39.7 GB | 1.25 GB | 41.5 GB | +34.5 GB | ~1.0 | llama.cpp | Why |
| DeepSeek-R1-Distill-Llama 70B | 70.6B | Q4_K_M | 39.7 GB | 1.25 GB | 41.5 GB | +34.5 GB | ~1.0 | llama.cpp | Why |
Totals = quantised weights + f16 KV cache at 4K 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 608 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.