Your rig
GeForce RTX 3090 · 24 GB
32 GB system RAM · Ampere · 936 GB/s · 22.4 GB usable VRAM
Which one should I actually run?
Best models for your GeForce RTX 3090
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 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 | Qwen3.8 27B New this week Alibaba · Apache 2.0 |
Best capability per gigabyte: a current-generation dense 27B with vision and 262K context. | Q5_K_M · 21.0 GB | 31 | Tight fit |
| Best for coding | Qwen3.8 27B New this week Alibaba · Apache 2.0 |
Terminal-Bench 73, DeepSWE 42 — a generation ahead of anything else that fits 24 GB. | Q5_K_M · 21.0 GB | 31 | Tight fit |
| Best reasoning | Qwen3.8 27B New this week Alibaba · Apache 2.0 |
Thinking mode plus the best agentic reasoning at 24 GB. | Q5_K_M · 21.0 GB | 31 | Tight fit |
| Best for writing | Gemma 4 12B Google · Apache 2.0 |
The 12 GB writing pick; 140+ languages. | Q5_K_M · 10.8 GB | 72 | Runs great |
| Best vision | Qwen3.8 27B New this week Alibaba · Apache 2.0 |
Image and video in, OSWorld 84 — the strongest local vision-language model at 24 GB. | Q5_K_M · 21.0 GB | 31 | Tight fit |
| Best for agents | Qwen3.8 27B New this week Alibaba · Apache 2.0 |
Computer use and tool calling are what 3.8 was trained for (OSWorld 84). | Q5_K_M · 21.0 GB | 31 | Tight fit |
| Best translation | Qwen3.8 27B New this week Alibaba · Apache 2.0 |
119 languages, and Qwen translations read as idiomatic rather than literal. | Q5_K_M · 21.0 GB | 31 | Tight fit |
| Fastest good model | Gemma 4 26B-A4B Google · Apache 2.0 |
3.8B active and a small file — the quickest Gemma 4 with vision. | Q5_K_M · 19.5 GB | 87 | Tight fit |
| Best long context | Nemotron 3.5 Lightning 30B-A3B New NVIDIA · OpenMDW-1.1 |
262K, and a Mamba hybrid whose cache barely grows. | Q5_K_M · 22.2 GB at 128K context |
103 | Tight fit |
Everything that fits
Runs great
38 of 76 · fits with headroom for a longer prompt| Model | Params | Quant | Weights | +KV 32K | Total | VRAM headroom | Tok/s | Runtime | |
|---|---|---|---|---|---|---|---|---|---|
| gpt-oss 20B | 20.9B MoE / 3.6B act | MXFP4 | 10.8 GB | 0.75 GB | 12.2 GB |
10.2 GB free
|
117 | Ollama | Run |
| Qwen3 14B | 14.8B | Q5_K_M | 9.8 GB | 5.00 GB | 15.4 GB |
7.0 GB free
|
58 | Ollama | Run |
| DeepSeek-R1-Distill-Qwen 14B | 14.8B | Q5_K_M | 9.8 GB | 6.00 GB | 16.4 GB |
6.0 GB free
|
58 | Ollama | Run |
| Qwen2.5-Coder 14B | 14.8B | Q5_K_M | 9.8 GB | 6.00 GB | 16.4 GB |
6.0 GB free
|
58 | Ollama | Run |
| Phi-4 14B | 14.7B | Q5_K_M | 9.7 GB | 3.13 GB | 13.4 GB |
9.0 GB free
|
58 | Ollama | Run |
| Ministral 3 14B | 13.9B | Q5_K_M | 9.2 GB | 5.00 GB | 14.8 GB |
7.6 GB free
|
62 | Ollama | Run |
| Gemma 3 12B | 12.2B | Q5_K_M | 8.1 GB | 2.31 GB | 11.0 GB |
11.4 GB free
|
70 | Ollama | Run |
| Mistral NeMo 12B | 12.2B | Q5_K_M | 8.1 GB | 5.00 GB | 13.7 GB |
8.7 GB free
|
70 | Ollama | Run |
| Gemma 4 12B | 12B | Q5_K_M | 7.9 GB | 2.31 GB | 10.8 GB |
11.6 GB free
|
72 | Ollama | Run |
| Qwen3.5 9B | 9.65B | Q5_K_M | 6.4 GB | 1.00 GB | 8.0 GB |
14.4 GB free
|
89 | Ollama | Run |
| Ornith 1.5 9B New this week | 9.41B | Q5_K_M | 6.2 GB | 1.00 GB | 7.8 GB |
14.6 GB free
|
91 | Ollama | Run |
| Ministral 3 8B | 8.92B | Q5_K_M | 5.9 GB | 4.25 GB | 10.7 GB |
11.7 GB free
|
96 | Ollama | Run |
| Granite 4.1 8B | 8.79B | Q5_K_M | 5.8 GB | 5.00 GB | 11.4 GB |
11.0 GB free
|
98 | Ollama | Run |
| LFM2.5 8B-A1B | 8.47B MoE / 1.5B act | Q5_K_M | 5.6 GB | 0.38 GB | 6.6 GB |
15.8 GB free
|
220 | Ollama | Run |
| Fara 7B | 8.29B | Q5_K_M | 5.5 GB | 1.75 GB | 7.8 GB |
14.6 GB free
|
104 | llama.cpp | Run |
| Qwen3 8B | 8.19B | Q5_K_M | 5.4 GB | 4.50 GB | 10.5 GB |
11.9 GB free
|
105 | Ollama | Run |
| Llama 3.1 8B Instruct | 8.03B | Q5_K_M | 5.3 GB | 4.00 GB | 9.9 GB |
12.5 GB free
|
107 | Ollama | Run |
| Gemma 4 E4B | 8.0B | Q5_K_M | 5.3 GB | 0.47 GB | 6.4 GB |
16.0 GB free
|
107 | Ollama | Run |
| Ling 3.0 Tiny 7.9B-A1.3B New | 7.9B MoE / 1.3B act | Q5_K_M | 5.2 GB | 0.21 GB | 6.0 GB |
16.4 GB free
|
254 | llama.cpp | Run |
| DeepSeek-R1-Distill-Qwen 7B | 7.62B | Q5_K_M | 5.0 GB | 1.75 GB | 7.4 GB |
15.0 GB free
|
113 | Ollama | Run |
| Qwen2.5-Coder 7B | 7.62B | Q5_K_M | 5.0 GB | 1.75 GB | 7.4 GB |
15.0 GB free
|
113 | Ollama | Run |
| Olmo 3 7B Instruct | 7.3B | Q5_K_M | 4.8 GB | 5.50 GB | 10.9 GB |
11.5 GB free
|
118 | Ollama | Run |
| Mistral 7B Instruct v0.3 | 7.25B | Q5_K_M | 4.8 GB | 4.00 GB | 9.4 GB |
13.0 GB free
|
118 | Ollama | Run |
| Gemma 4 E2B | 5.1B | Q5_K_M | 3.4 GB | 0.23 GB | 4.2 GB |
18.2 GB free
|
168 | Ollama | Run |
| Qwen3.5 4B | 4.66B | Q5_K_M | 3.1 GB | 1.00 GB | 4.7 GB |
17.7 GB free
|
184 | Ollama | Run |
| Gemma 3 4B | 4.3B | Q5_K_M | 2.8 GB | 0.86 GB | 4.3 GB |
18.1 GB free
|
200 | Ollama | Run |
| Qwen3 4B | 4.02B | Q5_K_M | 2.7 GB | 4.50 GB | 7.8 GB |
14.6 GB free
|
214 | Ollama | Run |
| Ministral 3 3B | 3.85B | Q5_K_M | 2.5 GB | 3.25 GB | 6.4 GB |
16.0 GB free
|
223 | Ollama | Run |
| Phi-4-mini 3.8B | 3.84B | Q5_K_M | 2.5 GB | 4.00 GB | 7.1 GB |
15.3 GB free
|
224 | Ollama | Run |
| Granite 4.1 3B | 3.4B | Q5_K_M | 2.2 GB | 2.50 GB | 5.3 GB |
17.1 GB free
|
252 | Ollama | Run |
| Llama 3.2 3B Instruct | 3.21B | Q5_K_M | 2.1 GB | 3.50 GB | 6.2 GB |
16.2 GB free
|
267 | Ollama | Run |
| LFM2.5 2.6B New | 2.7B | Q5_K_M | 1.8 GB | 0.50 GB | 2.9 GB |
19.5 GB free
|
318 | llama.cpp | Run |
| Qwen3.5 2B | 2.27B | Q5_K_M | 1.5 GB | 0.38 GB | 2.5 GB |
19.9 GB free
|
378 | Ollama | Run |
| Qwen3 1.7B | 1.72B | Q5_K_M | 1.1 GB | 3.50 GB | 5.2 GB |
17.2 GB free
|
499 | Ollama | Run |
| Llama 3.2 1B Instruct | 1.24B | Q5_K_M | 0.8 GB | 1.00 GB | 2.4 GB |
20.0 GB free
|
692 | Ollama | Run |
| Gemma 3 1B | 1.0B | Q5_K_M | 0.7 GB | 0.14 GB | 1.4 GB |
21.0 GB free
|
858 | Ollama | Run |
| Qwen3.5 0.8B | 0.87B | Q5_K_M | 0.6 GB | 0.38 GB | 1.5 GB |
20.9 GB free
|
987 | Ollama | Run |
| Qwen3 0.6B | 0.6B | Q5_K_M | 0.4 GB | 3.50 GB | 4.5 GB |
17.9 GB free
|
1431 | Ollama | Run |
Runs — tight
8 models · fits at 32K, drop context or quant to go longer| Model | Params | Quant | Weights | +KV 32K | Total | VRAM headroom | Tok/s | Runtime | |
|---|---|---|---|---|---|---|---|---|---|
| Nemotron 3.5 Lightning 30B-A3B New | 31.6B MoE / 3.2B act | Q5_K_M | 20.9 GB | 0.19 GB | 21.6 GB |
0.8 GB free
|
103 | llama.cpp | Run |
| Muse Glimmer 30B New | 29.8B | Q5_K_M | 19.7 GB | 0.48 GB | 20.8 GB |
1.6 GB free
|
29 | llama.cpp | Run |
| Qwen3.8 27B New this week | 27.8B | Q5_K_M | 18.4 GB | 2.00 GB | 21.0 GB |
1.4 GB free
|
31 | llama.cpp | Run |
| Qwen3.6 27B | 27.8B | Q5_K_M | 18.4 GB | 2.00 GB | 21.0 GB |
1.4 GB free
|
31 | llama.cpp | Run |
| Gemma 3 27B | 27.4B | Q5_K_M | 18.1 GB | 2.91 GB | 21.6 GB |
0.8 GB free
|
31 | llama.cpp | Run |
| Gemma 4 26B-A4B | 26.5B MoE / 3.8B act | Q5_K_M | 17.5 GB | 1.45 GB | 19.5 GB |
2.9 GB free
|
87 | llama.cpp | Run |
| Devstral Small 2 24B | 24B | Q5_K_M | 15.8 GB | 5.00 GB | 21.4 GB |
1.0 GB free
|
36 | llama.cpp | Run |
| Mistral Small 3.2 24B | 23.6B | Q5_K_M | 15.6 GB | 5.00 GB | 21.2 GB |
1.2 GB free
|
36 | llama.cpp | Run |
Won't fit in VRAM
30 models · some are possible with CPU offload| Model | Params | Quant | Weights | +KV 32K | Total | Over budget | Tok/s | Runtime | |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B-A3B | 35.9B MoE / 3.3B act | Q5_K_M | 23.7 GB | 0.63 GB | 24.9 GB | +2.5 GB | ~39 | llama.cpp | Why |
| Ornith 1.5 35B-A3B New this week | 35.9B MoE / 3.3B act | Q5_K_M | 23.7 GB | 0.63 GB | 24.9 GB | +2.5 GB | ~39 | llama.cpp | Why |
| LLM-jp 4 33B Thinking New this week | 33.2B | Q5_K_M | 21.9 GB | 8.00 GB | 30.5 GB | +8.1 GB | ~4.0 | llama.cpp | Why |
| Qwen3 32B | 32.8B | Q5_K_M | 21.7 GB | 8.00 GB | 30.3 GB | +7.9 GB | ~4.2 | llama.cpp | Why |
| DeepSeek-R1-Distill-Qwen 32B | 32.8B | Q5_K_M | 21.7 GB | 8.00 GB | 30.3 GB | +7.9 GB | ~4.2 | llama.cpp | Why |
| Qwen2.5-Coder 32B | 32.8B | Q5_K_M | 21.7 GB | 8.00 GB | 30.3 GB | +7.9 GB | ~4.2 | llama.cpp | Why |
| Olmo 3.1 32B Instruct | 32.2B | Q5_K_M | 21.3 GB | 2.75 GB | 24.6 GB | +2.2 GB | ~11 | llama.cpp | Why |
| Gemma 4 31B | 31.3B | Q5_K_M | 20.7 GB | 5.78 GB | 27.0 GB | +4.6 GB | ~6.4 | llama.cpp | Why |
| GLM-4.7-Flash 30B-A3B | 31.2B MoE / 3B act | Q5_K_M | 20.6 GB | 1.65 GB | 22.8 GB | +0.4 GB | ~84 | llama.cpp | Why |
| Qwen3 30B-A3B | 30.5B MoE / 3.3B act | Q5_K_M | 20.1 GB | 3.00 GB | 23.7 GB | +1.3 GB | ~51 | llama.cpp | Why |
| Qwen3 Coder 30B-A3B | 30.5B MoE / 3.3B act | Q5_K_M | 20.1 GB | 3.00 GB | 23.7 GB | +1.3 GB | ~51 | llama.cpp | Why |
| Granite 4.1 30B | 28.9B | Q5_K_M | 19.1 GB | 8.00 GB | 27.7 GB | +5.3 GB | ~5.9 | llama.cpp | Why |
| Kimi K3 2.8T-A104B New | 2780B MoE / 104B act | Q5_K_M | 1835.0 GB | 0.84 GB | 1836.5 GB | +1814.1 GB | ~0.2 | llama.cpp | Why |
| Qwen3.8 2.4T-A95B New | 2446B MoE / 95B act | Q5_K_M | 1614.5 GB | 2.88 GB | 1618.0 GB | +1595.6 GB | ~0.2 | llama.cpp | Why |
| DeepSeek V4 Pro 1.6T-A49B New | 1650B MoE / 49B act | Q5_K_M | 1089.1 GB | 2.14 GB | 1091.9 GB | +1069.5 GB | ~0.4 | llama.cpp | Why |
| Kimi K2.6 1T-A32B | 1027B MoE / 32B act | Q5_K_M | 677.9 GB | 2.14 GB | 680.6 GB | +658.2 GB | ~0.7 | llama.cpp | Why |
| GLM-5.2 744B-A40B | 753B MoE / 40B act | Q5_K_M | 497.0 GB | 2.74 GB | 500.4 GB | +478.0 GB | ~0.5 | llama.cpp | Why |
| DeepSeek-R1 671B | 671B MoE / 37B act | Q5_K_M | 442.9 GB | 2.14 GB | 445.7 GB | +423.3 GB | ~0.6 | llama.cpp | Why |
| Qwen3.5 397B-A17B | 403B MoE / 17B act | Q5_K_M | 266.0 GB | 0.94 GB | 267.5 GB | +245.1 GB | ~1.3 | llama.cpp | Why |
| Ornith 1.5 397B-A17B New this week | 397B MoE / 17B act | Q5_K_M | 262.0 GB | 0.94 GB | 263.6 GB | +241.2 GB | ~1.3 | llama.cpp | Why |
| DeepSeek V4 Flash 284B-A13B New | 284B MoE / 13B act | Q5_K_M | 187.5 GB | 1.51 GB | 189.6 GB | +167.2 GB | ~1.8 | llama.cpp | Why |
| Qwen3 235B-A22B | 235B MoE / 22B act | Q5_K_M | 155.1 GB | 5.88 GB | 161.6 GB | +139.2 GB | ~1.1 | llama.cpp | Why |
| Qwen3.5 122B-A10B | 125B MoE / 10B act | Q5_K_M | 82.5 GB | 0.75 GB | 83.9 GB | +61.5 GB | ~2.8 | llama.cpp | Why |
| Nemotron 3 Super 120B-A12B | 124B MoE / 12B act | Q5_K_M | 81.8 GB | 0.25 GB | 82.7 GB | +60.3 GB | ~2.3 | llama.cpp | Why |
| Ling 3.0 Flash 124B-A5B New | 124B MoE / 5.1B act | Q5_K_M | 81.8 GB | 0.25 GB | 82.7 GB | +60.3 GB | ~5.5 | llama.cpp | Why |
| Mistral Small 4 119B-A6B | 119B MoE / 6.5B act | Q5_K_M | 78.5 GB | 0.70 GB | 79.9 GB | +57.5 GB | ~4.3 | llama.cpp | Why |
| gpt-oss 120B | 117B MoE / 5.1B act | MXFP4 | 60.5 GB | 1.13 GB | 62.2 GB | +39.8 GB | ~7.8 | llama.cpp | Why |
| Llama 4 Scout 109B-A17B | 109B MoE / 17B act | Q5_K_M | 71.9 GB | 2.63 GB | 75.2 GB | +52.8 GB | ~1.7 | llama.cpp | Why |
| Llama 3.3 70B Instruct | 70.6B | Q5_K_M | 46.6 GB | 10.00 GB | 57.2 GB | +34.8 GB | ~1.0 | llama.cpp | Why |
| DeepSeek-R1-Distill-Llama 70B | 70.6B | Q5_K_M | 46.6 GB | 10.00 GB | 57.2 GB | +34.8 GB | ~1.0 | llama.cpp | Why |
Totals = quantised weights + f16 KV cache at 32K tokens + 0.6 GB runtime overhead, against 22.4 GB usable VRAM (24 GB less display and driver reserve). Tokens per second are estimated from 936 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.