Your rig

GeForce RTX 3090 · 24 GB

16 GB system RAM · Ampere · 936 GB/s · 22.4 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 3090

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 Q3_K_M and 4K. The ordering is editorial; the sizes and speeds are computed. How the shortlists work.

RecommendationModelWhyQuant · totalTok/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. Q3_K_M · 13.5 GB 45 Runs great
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. Q3_K_M · 13.5 GB 45 Runs great
Best reasoning Gemma 4 31B
Google · Apache 2.0
89% AIME — the strongest maths of any model under 32B. Q3_K_M · 16.3 GB 40 Runs great
Best for writing Gemma 4 31B
Google · Apache 2.0
The cleanest, least verbose prose of the 2026 24–32 GB class. Q3_K_M · 16.3 GB 40 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. Q3_K_M · 13.5 GB 45 Runs great
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). Q3_K_M · 13.5 GB 45 Runs great
Best translation Qwen3.8 27B New this week
Alibaba · Apache 2.0
119 languages, and Qwen translations read as idiomatic rather than literal. Q3_K_M · 13.5 GB 45 Runs great
Fastest good model Qwen3.6 35B-A3B
Alibaba · Apache 2.0
3.3B active per token: the fastest model that still competes with dense 27Bs. Q3_K_M · 17.0 GB 145 Runs great
Best long context Qwen3.8 27B New this week
Alibaba · Apache 2.0
262K native, and only 16 of 64 blocks keep a KV cache — long context is cheap here. Q3_K_M · 21.3 GB
at 128K context
45 Tight fit

Everything that fits

Runs great

58 of 76 · fits with headroom for a longer prompt
ModelParamsQuantWeights +KV 4KTotal VRAM headroom Tok/sRuntime
Qwen3.6 35B-A3B 35.9B MoE / 3.3B act Q3_K_M 16.3 GB 0.08 GB 17.0 GB
5.4 GB free
145 Ollama Run
Ornith 1.5 35B-A3B New this week 35.9B MoE / 3.3B act Q3_K_M 16.3 GB 0.08 GB 17.0 GB
5.4 GB free
145 Ollama Run
LLM-jp 4 33B Thinking New this week 33.2B Q3_K_M 15.1 GB 1.00 GB 16.7 GB
5.7 GB free
37 llama.cpp Run
Qwen3 32B 32.8B Q3_K_M 14.9 GB 1.00 GB 16.5 GB
5.9 GB free
38 Ollama Run
DeepSeek-R1-Distill-Qwen 32B 32.8B Q3_K_M 14.9 GB 1.00 GB 16.5 GB
5.9 GB free
38 Ollama Run
Qwen2.5-Coder 32B 32.8B Q3_K_M 14.9 GB 1.00 GB 16.5 GB
5.9 GB free
38 Ollama Run
Olmo 3.1 32B Instruct 32.2B Q3_K_M 14.7 GB 1.00 GB 16.3 GB
6.1 GB free
39 Ollama Run
Nemotron 3.5 Lightning 30B-A3B New 31.6B MoE / 3.2B act Q3_K_M 14.4 GB 0.02 GB 15.0 GB
7.4 GB free
150 Ollama Run
Gemma 4 31B 31.3B Q3_K_M 14.2 GB 1.41 GB 16.3 GB
6.1 GB free
40 Ollama Run
GLM-4.7-Flash 30B-A3B 31.2B MoE / 3B act Q3_K_M 14.2 GB 0.21 GB 15.0 GB
7.4 GB free
160 Ollama Run
Qwen3 30B-A3B 30.5B MoE / 3.3B act Q3_K_M 13.9 GB 0.38 GB 14.9 GB
7.5 GB free
145 Ollama Run
Qwen3 Coder 30B-A3B 30.5B MoE / 3.3B act Q3_K_M 13.9 GB 0.38 GB 14.9 GB
7.5 GB free
145 Ollama Run
Muse Glimmer 30B New 29.8B Q3_K_M 13.6 GB 0.13 GB 14.3 GB
8.1 GB free
42 Ollama Run
Granite 4.1 30B 28.9B Q3_K_M 13.2 GB 1.00 GB 14.8 GB
7.6 GB free
43 Ollama Run
Qwen3.8 27B New this week 27.8B Q3_K_M 12.7 GB 0.25 GB 13.5 GB
8.9 GB free
45 Ollama Run
Qwen3.6 27B 27.8B Q3_K_M 12.7 GB 0.25 GB 13.5 GB
8.9 GB free
45 Ollama Run
Gemma 3 27B 27.4B Q3_K_M 12.5 GB 0.72 GB 13.8 GB
8.6 GB free
45 Ollama Run
Gemma 4 26B-A4B 26.5B MoE / 3.8B act Q3_K_M 12.1 GB 0.35 GB 13.0 GB
9.4 GB free
126 Ollama Run
Devstral Small 2 24B 24B Q3_K_M 10.9 GB 0.63 GB 12.1 GB
10.3 GB free
52 llama.cpp Run
Mistral Small 3.2 24B 23.6B Q3_K_M 10.7 GB 0.63 GB 12.0 GB
10.4 GB free
53 Ollama Run
gpt-oss 20B 20.9B MoE / 3.6B act MXFP4 10.8 GB 0.10 GB 11.5 GB
10.9 GB free
117 Ollama Run
Qwen3 14B 14.8B Q3_K_M 6.7 GB 0.63 GB 8.0 GB
14.4 GB free
84 Ollama Run
DeepSeek-R1-Distill-Qwen 14B 14.8B Q3_K_M 6.7 GB 0.75 GB 8.1 GB
14.3 GB free
84 Ollama Run
Qwen2.5-Coder 14B 14.8B Q3_K_M 6.7 GB 0.75 GB 8.1 GB
14.3 GB free
84 Ollama Run
Phi-4 14B 14.7B Q3_K_M 6.7 GB 0.78 GB 8.1 GB
14.3 GB free
85 Ollama Run
Ministral 3 14B 13.9B Q3_K_M 6.3 GB 0.63 GB 7.6 GB
14.8 GB free
90 Ollama Run
Gemma 3 12B 12.2B Q3_K_M 5.6 GB 0.56 GB 6.7 GB
15.7 GB free
102 Ollama Run
Mistral NeMo 12B 12.2B Q3_K_M 5.6 GB 0.63 GB 6.8 GB
15.6 GB free
102 Ollama Run
Gemma 4 12B 12B Q3_K_M 5.5 GB 0.56 GB 6.6 GB
15.8 GB free
104 Ollama Run
Qwen3.5 9B 9.65B Q3_K_M 4.4 GB 0.13 GB 5.1 GB
17.3 GB free
129 Ollama Run
Ornith 1.5 9B New this week 9.41B Q3_K_M 4.3 GB 0.13 GB 5.0 GB
17.4 GB free
132 Ollama Run
Ministral 3 8B 8.92B Q3_K_M 4.1 GB 0.53 GB 5.2 GB
17.2 GB free
140 Ollama Run
Granite 4.1 8B 8.79B Q3_K_M 4.0 GB 0.63 GB 5.2 GB
17.2 GB free
142 Ollama Run
LFM2.5 8B-A1B 8.47B MoE / 1.5B act Q3_K_M 3.9 GB 0.05 GB 4.5 GB
17.9 GB free
319 Ollama Run
Fara 7B 8.29B Q3_K_M 3.8 GB 0.22 GB 4.6 GB
17.8 GB free
150 llama.cpp Run
Qwen3 8B 8.19B Q3_K_M 3.7 GB 0.56 GB 4.9 GB
17.5 GB free
152 Ollama Run
Llama 3.1 8B Instruct 8.03B Q3_K_M 3.7 GB 0.50 GB 4.8 GB
17.6 GB free
155 Ollama Run
Gemma 4 E4B 8.0B Q3_K_M 3.6 GB 0.09 GB 4.3 GB
18.1 GB free
156 Ollama Run
Ling 3.0 Tiny 7.9B-A1.3B New 7.9B MoE / 1.3B act Q3_K_M 3.6 GB 0.03 GB 4.2 GB
18.2 GB free
368 llama.cpp Run
DeepSeek-R1-Distill-Qwen 7B 7.62B Q3_K_M 3.5 GB 0.22 GB 4.3 GB
18.1 GB free
163 Ollama Run
Qwen2.5-Coder 7B 7.62B Q3_K_M 3.5 GB 0.22 GB 4.3 GB
18.1 GB free
163 Ollama Run
Olmo 3 7B Instruct 7.3B Q3_K_M 3.3 GB 2.00 GB 5.9 GB
16.5 GB free
171 Ollama Run
Mistral 7B Instruct v0.3 7.25B Q3_K_M 3.3 GB 0.50 GB 4.4 GB
18.0 GB free
172 Ollama Run
Gemma 4 E2B 5.1B Q3_K_M 2.3 GB 0.04 GB 3.0 GB
19.4 GB free
244 Ollama Run
Qwen3.5 4B 4.66B Q3_K_M 2.1 GB 0.13 GB 2.8 GB
19.6 GB free
267 Ollama Run
Gemma 3 4B 4.3B Q3_K_M 2.0 GB 0.20 GB 2.8 GB
19.6 GB free
289 Ollama Run
Qwen3 4B 4.02B Q3_K_M 1.8 GB 0.56 GB 3.0 GB
19.4 GB free
310 Ollama Run
Ministral 3 3B 3.85B Q3_K_M 1.8 GB 0.41 GB 2.8 GB
19.6 GB free
323 Ollama Run
Phi-4-mini 3.8B 3.84B Q3_K_M 1.7 GB 0.50 GB 2.8 GB
19.6 GB free
324 Ollama Run
Granite 4.1 3B 3.4B Q3_K_M 1.5 GB 0.31 GB 2.5 GB
19.9 GB free
366 Ollama Run
Llama 3.2 3B Instruct 3.21B Q3_K_M 1.5 GB 0.44 GB 2.5 GB
19.9 GB free
388 Ollama Run
LFM2.5 2.6B New 2.7B Q3_K_M 1.2 GB 0.06 GB 1.9 GB
20.5 GB free
461 llama.cpp Run
Qwen3.5 2B 2.27B Q3_K_M 1.0 GB 0.05 GB 1.7 GB
20.7 GB free
548 Ollama Run
Qwen3 1.7B 1.72B Q3_K_M 0.8 GB 0.44 GB 1.8 GB
20.6 GB free
724 Ollama Run
Llama 3.2 1B Instruct 1.24B Q3_K_M 0.6 GB 0.13 GB 1.3 GB
21.1 GB free
1004 Ollama Run
Gemma 3 1B 1.0B Q3_K_M 0.5 GB 0.03 GB 1.1 GB
21.3 GB free
1245 Ollama Run
Qwen3.5 0.8B 0.87B Q3_K_M 0.4 GB 0.05 GB 1.0 GB
21.4 GB free
1431 Ollama Run
Qwen3 0.6B 0.6B Q3_K_M 0.3 GB 0.44 GB 1.3 GB
21.1 GB free
2075 Ollama Run

Won't fit in VRAM

18 models · some are possible with CPU offload
ModelParamsQuantWeights +KV 4KTotal Over budget Tok/sRuntime
Llama 3.3 70B Instruct 70.6B Q3_K_M 32.1 GB 1.25 GB 34.0 GB +11.6 GB ~2.8 llama.cpp Why
DeepSeek-R1-Distill-Llama 70B 70.6B Q3_K_M 32.1 GB 1.25 GB 34.0 GB +11.6 GB ~2.8 llama.cpp Why
Kimi K3 2.8T-A104B New 2780B MoE / 104B act Q3_K_M 1265.4 GB 0.11 GB 1266.1 GB +1243.7 GB ~0.3 llama.cpp Why
Qwen3.8 2.4T-A95B New 2446B MoE / 95B act Q3_K_M 1113.4 GB 0.36 GB 1114.3 GB +1091.9 GB ~0.3 llama.cpp Why
DeepSeek V4 Pro 1.6T-A49B New 1650B MoE / 49B act Q3_K_M 751.1 GB 0.27 GB 751.9 GB +729.5 GB ~0.6 llama.cpp Why
Kimi K2.6 1T-A32B 1027B MoE / 32B act Q3_K_M 467.5 GB 0.27 GB 468.3 GB +445.9 GB ~1.0 llama.cpp Why
GLM-5.2 744B-A40B 753B MoE / 40B act Q3_K_M 342.8 GB 0.34 GB 343.7 GB +321.3 GB ~0.8 llama.cpp Why
DeepSeek-R1 671B 671B MoE / 37B act Q3_K_M 305.4 GB 0.27 GB 306.3 GB +283.9 GB ~0.9 llama.cpp Why
Qwen3.5 397B-A17B 403B MoE / 17B act Q3_K_M 183.4 GB 0.12 GB 184.2 GB +161.8 GB ~2.0 llama.cpp Why
Ornith 1.5 397B-A17B New this week 397B MoE / 17B act Q3_K_M 180.7 GB 0.12 GB 181.4 GB +159.0 GB ~2.0 llama.cpp Why
DeepSeek V4 Flash 284B-A13B New 284B MoE / 13B act Q3_K_M 129.3 GB 0.19 GB 130.1 GB +107.7 GB ~2.8 llama.cpp Why
Qwen3 235B-A22B 235B MoE / 22B act Q3_K_M 107.0 GB 0.73 GB 108.3 GB +85.9 GB ~1.7 llama.cpp Why
Qwen3.5 122B-A10B 125B MoE / 10B act Q3_K_M 56.9 GB 0.09 GB 57.6 GB +35.2 GB ~4.8 llama.cpp Why
Nemotron 3 Super 120B-A12B 124B MoE / 12B act Q3_K_M 56.4 GB 0.03 GB 57.1 GB +34.7 GB ~4.0 llama.cpp Why
Ling 3.0 Flash 124B-A5B New 124B MoE / 5.1B act Q3_K_M 56.4 GB 0.03 GB 57.1 GB +34.7 GB ~9.4 llama.cpp Why
Mistral Small 4 119B-A6B 119B MoE / 6.5B act Q3_K_M 54.2 GB 0.09 GB 54.9 GB +32.5 GB ~7.6 llama.cpp Why
gpt-oss 120B 117B MoE / 5.1B act MXFP4 60.5 GB 0.15 GB 61.3 GB +38.9 GB ~8.0 llama.cpp Why
Llama 4 Scout 109B-A17B 109B MoE / 17B act Q3_K_M 49.6 GB 0.75 GB 51.0 GB +28.6 GB ~3.0 llama.cpp Why

Totals = quantised weights + f16 KV cache at 4K 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.