Your rig
A10 · 24 GB
32 GB system RAM · Ampere · 600 GB/s · 22.4 GB usable VRAM
Which one should I actually run?
Best models for your A10
What do you want to do? Each row is the best-ranked model on that use case's shortlist that fits at Q6_K and 8K. 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. | Q6_K · 22.3 GB | 17 | 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. | Q6_K · 22.3 GB | 17 | Tight fit |
| Best reasoning | Qwen3.8 27B New this week Alibaba · Apache 2.0 |
Thinking mode plus the best agentic reasoning at 24 GB. | Q6_K · 22.3 GB | 17 | Tight fit |
| Best for writing | Gemma 4 12B Google · Apache 2.0 |
The 12 GB writing pick; 140+ languages. | Q6_K · 10.6 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. | Q6_K · 22.3 GB | 17 | 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). | Q6_K · 22.3 GB | 17 | 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. | Q6_K · 22.3 GB | 17 | 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. | Q6_K · 21.3 GB | 48 | Tight fit |
| Best long context | Gemma 4 12B Google · Apache 2.0 |
256K on a 12 GB card. | Q6_K · 18.1 GB at 128K context |
40 | Runs great |
Everything that fits
Runs great
38 of 76 · fits with headroom for a longer prompt| Model | Params | Quant | Weights | +KV 8K | Total | VRAM headroom | Tok/s | Runtime | |
|---|---|---|---|---|---|---|---|---|---|
| gpt-oss 20B | 20.9B MoE / 3.6B act | MXFP4 | 10.8 GB | 0.19 GB | 11.6 GB |
10.8 GB free
|
75 | Ollama | Run |
| Qwen3 14B | 14.8B | Q6_K | 11.3 GB | 1.25 GB | 13.2 GB |
9.2 GB free
|
32 | Ollama | Run |
| DeepSeek-R1-Distill-Qwen 14B | 14.8B | Q6_K | 11.3 GB | 1.50 GB | 13.4 GB |
9.0 GB free
|
32 | Ollama | Run |
| Qwen2.5-Coder 14B | 14.8B | Q6_K | 11.3 GB | 1.50 GB | 13.4 GB |
9.0 GB free
|
32 | Ollama | Run |
| Phi-4 14B | 14.7B | Q6_K | 11.2 GB | 1.56 GB | 13.4 GB |
9.0 GB free
|
32 | Ollama | Run |
| Ministral 3 14B | 13.9B | Q6_K | 10.6 GB | 1.25 GB | 12.5 GB |
9.9 GB free
|
34 | Ollama | Run |
| Gemma 3 12B | 12.2B | Q6_K | 9.3 GB | 0.81 GB | 10.7 GB |
11.7 GB free
|
39 | Ollama | Run |
| Mistral NeMo 12B | 12.2B | Q6_K | 9.3 GB | 1.25 GB | 11.2 GB |
11.2 GB free
|
39 | Ollama | Run |
| Gemma 4 12B | 12B | Q6_K | 9.2 GB | 0.81 GB | 10.6 GB |
11.8 GB free
|
40 | Ollama | Run |
| Qwen3.5 9B | 9.65B | Q6_K | 7.4 GB | 0.25 GB | 8.2 GB |
14.2 GB free
|
49 | Ollama | Run |
| Ornith 1.5 9B New this week | 9.41B | Q6_K | 7.2 GB | 0.25 GB | 8.0 GB |
14.4 GB free
|
51 | Ollama | Run |
| Ministral 3 8B | 8.92B | Q6_K | 6.8 GB | 1.06 GB | 8.5 GB |
13.9 GB free
|
53 | Ollama | Run |
| Granite 4.1 8B | 8.79B | Q6_K | 6.7 GB | 1.25 GB | 8.6 GB |
13.8 GB free
|
54 | Ollama | Run |
| LFM2.5 8B-A1B | 8.47B MoE / 1.5B act | Q6_K | 6.5 GB | 0.09 GB | 7.2 GB |
15.2 GB free
|
122 | Ollama | Run |
| Fara 7B | 8.29B | Q6_K | 6.3 GB | 0.44 GB | 7.4 GB |
15.0 GB free
|
57 | llama.cpp | Run |
| Qwen3 8B | 8.19B | Q6_K | 6.3 GB | 1.13 GB | 8.0 GB |
14.4 GB free
|
58 | Ollama | Run |
| Llama 3.1 8B Instruct | 8.03B | Q6_K | 6.1 GB | 1.00 GB | 7.7 GB |
14.7 GB free
|
59 | Ollama | Run |
| Gemma 4 E4B | 8.0B | Q6_K | 6.1 GB | 0.14 GB | 6.9 GB |
15.5 GB free
|
59 | Ollama | Run |
| Ling 3.0 Tiny 7.9B-A1.3B New | 7.9B MoE / 1.3B act | Q6_K | 6.0 GB | 0.05 GB | 6.7 GB |
15.7 GB free
|
141 | llama.cpp | Run |
| DeepSeek-R1-Distill-Qwen 7B | 7.62B | Q6_K | 5.8 GB | 0.44 GB | 6.9 GB |
15.5 GB free
|
62 | Ollama | Run |
| Qwen2.5-Coder 7B | 7.62B | Q6_K | 5.8 GB | 0.44 GB | 6.9 GB |
15.5 GB free
|
62 | Ollama | Run |
| Olmo 3 7B Instruct | 7.3B | Q6_K | 5.6 GB | 2.50 GB | 8.7 GB |
13.7 GB free
|
65 | Ollama | Run |
| Mistral 7B Instruct v0.3 | 7.25B | Q6_K | 5.5 GB | 1.00 GB | 7.1 GB |
15.3 GB free
|
66 | Ollama | Run |
| Gemma 4 E2B | 5.1B | Q6_K | 3.9 GB | 0.07 GB | 4.6 GB |
17.8 GB free
|
93 | Ollama | Run |
| Qwen3.5 4B | 4.66B | Q6_K | 3.6 GB | 0.25 GB | 4.4 GB |
18.0 GB free
|
102 | Ollama | Run |
| Gemma 3 4B | 4.3B | Q6_K | 3.3 GB | 0.30 GB | 4.2 GB |
18.2 GB free
|
111 | Ollama | Run |
| Qwen3 4B | 4.02B | Q6_K | 3.1 GB | 1.13 GB | 4.8 GB |
17.6 GB free
|
118 | Ollama | Run |
| Ministral 3 3B | 3.85B | Q6_K | 2.9 GB | 0.81 GB | 4.4 GB |
18.0 GB free
|
124 | Ollama | Run |
| Phi-4-mini 3.8B | 3.84B | Q6_K | 2.9 GB | 1.00 GB | 4.5 GB |
17.9 GB free
|
124 | Ollama | Run |
| Granite 4.1 3B | 3.4B | Q6_K | 2.6 GB | 0.63 GB | 3.8 GB |
18.6 GB free
|
140 | Ollama | Run |
| Llama 3.2 3B Instruct | 3.21B | Q6_K | 2.5 GB | 0.88 GB | 3.9 GB |
18.5 GB free
|
148 | Ollama | Run |
| LFM2.5 2.6B New | 2.7B | Q6_K | 2.1 GB | 0.13 GB | 2.8 GB |
19.6 GB free
|
176 | llama.cpp | Run |
| Qwen3.5 2B | 2.27B | Q6_K | 1.7 GB | 0.09 GB | 2.4 GB |
20.0 GB free
|
210 | Ollama | Run |
| Qwen3 1.7B | 1.72B | Q6_K | 1.3 GB | 0.88 GB | 2.8 GB |
19.6 GB free
|
277 | Ollama | Run |
| Llama 3.2 1B Instruct | 1.24B | Q6_K | 0.9 GB | 0.25 GB | 1.8 GB |
20.6 GB free
|
384 | Ollama | Run |
| Gemma 3 1B | 1.0B | Q6_K | 0.8 GB | 0.04 GB | 1.4 GB |
21.0 GB free
|
476 | Ollama | Run |
| Qwen3.5 0.8B | 0.87B | Q6_K | 0.7 GB | 0.09 GB | 1.4 GB |
21.0 GB free
|
547 | Ollama | Run |
| Qwen3 0.6B | 0.6B | Q6_K | 0.5 GB | 0.88 GB | 1.9 GB |
20.5 GB free
|
793 | Ollama | Run |
Runs — tight
5 models · fits at 8K, drop context or quant to go longer| Model | Params | Quant | Weights | +KV 8K | Total | VRAM headroom | Tok/s | Runtime | |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.8 27B New this week | 27.8B | Q6_K | 21.2 GB | 0.50 GB | 22.3 GB |
0.1 GB free
|
17 | llama.cpp | Run |
| Qwen3.6 27B | 27.8B | Q6_K | 21.2 GB | 0.50 GB | 22.3 GB |
0.1 GB free
|
17 | llama.cpp | Run |
| Gemma 4 26B-A4B | 26.5B MoE / 3.8B act | Q6_K | 20.2 GB | 0.51 GB | 21.3 GB |
1.1 GB free
|
48 | llama.cpp | Run |
| Devstral Small 2 24B | 24B | Q6_K | 18.3 GB | 1.25 GB | 20.2 GB |
2.2 GB free
|
20 | llama.cpp | Run |
| Mistral Small 3.2 24B | 23.6B | Q6_K | 18.0 GB | 1.25 GB | 19.9 GB |
2.5 GB free
|
20 | llama.cpp | Run |
Won't fit in VRAM
33 models · some are possible with CPU offload| Model | Params | Quant | Weights | +KV 8K | Total | Over budget | Tok/s | Runtime | |
|---|---|---|---|---|---|---|---|---|---|
| Qwen3.6 35B-A3B | 35.9B MoE / 3.3B act | Q6_K | 27.4 GB | 0.16 GB | 28.2 GB | +5.8 GB | ~19 | llama.cpp | Why |
| Ornith 1.5 35B-A3B New this week | 35.9B MoE / 3.3B act | Q6_K | 27.4 GB | 0.16 GB | 28.2 GB | +5.8 GB | ~19 | llama.cpp | Why |
| LLM-jp 4 33B Thinking New this week | 33.2B | Q6_K | 25.4 GB | 2.00 GB | 28.0 GB | +5.6 GB | ~4.8 | llama.cpp | Why |
| Qwen3 32B | 32.8B | Q6_K | 25.0 GB | 2.00 GB | 27.6 GB | +5.2 GB | ~5.0 | llama.cpp | Why |
| DeepSeek-R1-Distill-Qwen 32B | 32.8B | Q6_K | 25.0 GB | 2.00 GB | 27.6 GB | +5.2 GB | ~5.0 | llama.cpp | Why |
| Qwen2.5-Coder 32B | 32.8B | Q6_K | 25.0 GB | 2.00 GB | 27.6 GB | +5.2 GB | ~5.0 | llama.cpp | Why |
| Olmo 3.1 32B Instruct | 32.2B | Q6_K | 24.6 GB | 1.25 GB | 26.4 GB | +4.0 GB | ~6.0 | llama.cpp | Why |
| Nemotron 3.5 Lightning 30B-A3B New | 31.6B MoE / 3.2B act | Q6_K | 24.1 GB | 0.05 GB | 24.8 GB | +2.4 GB | ~30 | llama.cpp | Why |
| Gemma 4 31B | 31.3B | Q6_K | 23.9 GB | 2.03 GB | 26.5 GB | +4.1 GB | ~5.9 | llama.cpp | Why |
| GLM-4.7-Flash 30B-A3B | 31.2B MoE / 3B act | Q6_K | 23.8 GB | 0.41 GB | 24.8 GB | +2.4 GB | ~32 | llama.cpp | Why |
| Qwen3 30B-A3B | 30.5B MoE / 3.3B act | Q6_K | 23.3 GB | 0.75 GB | 24.6 GB | +2.2 GB | ~30 | llama.cpp | Why |
| Qwen3 Coder 30B-A3B | 30.5B MoE / 3.3B act | Q6_K | 23.3 GB | 0.75 GB | 24.6 GB | +2.2 GB | ~30 | llama.cpp | Why |
| Muse Glimmer 30B New | 29.8B | Q6_K | 22.8 GB | 0.18 GB | 23.5 GB | +1.1 GB | ~11 | llama.cpp | Why |
| Granite 4.1 30B | 28.9B | Q6_K | 22.1 GB | 2.00 GB | 24.7 GB | +2.3 GB | ~8.5 | llama.cpp | Why |
| Gemma 3 27B | 27.4B | Q6_K | 20.9 GB | 1.03 GB | 22.6 GB | +0.2 GB | ~16 | llama.cpp | Why |
| Kimi K3 2.8T-A104B New | 2780B MoE / 104B act | Q6_K | 2123.0 GB | 0.21 GB | 2123.9 GB | +2101.5 GB | ~0.2 | llama.cpp | Why |
| Qwen3.8 2.4T-A95B New | 2446B MoE / 95B act | Q6_K | 1868.0 GB | 0.72 GB | 1869.3 GB | +1846.9 GB | ~0.2 | llama.cpp | Why |
| DeepSeek V4 Pro 1.6T-A49B New | 1650B MoE / 49B act | Q6_K | 1260.1 GB | 0.54 GB | 1261.2 GB | +1238.8 GB | ~0.4 | llama.cpp | Why |
| Kimi K2.6 1T-A32B | 1027B MoE / 32B act | Q6_K | 784.3 GB | 0.54 GB | 785.4 GB | +763.0 GB | ~0.6 | llama.cpp | Why |
| GLM-5.2 744B-A40B | 753B MoE / 40B act | Q6_K | 575.1 GB | 0.69 GB | 576.3 GB | +553.9 GB | ~0.5 | llama.cpp | Why |
| DeepSeek-R1 671B | 671B MoE / 37B act | Q6_K | 512.4 GB | 0.54 GB | 513.6 GB | +491.2 GB | ~0.5 | llama.cpp | Why |
| Qwen3.5 397B-A17B | 403B MoE / 17B act | Q6_K | 307.8 GB | 0.23 GB | 308.6 GB | +286.2 GB | ~1.1 | llama.cpp | Why |
| Ornith 1.5 397B-A17B New this week | 397B MoE / 17B act | Q6_K | 303.2 GB | 0.23 GB | 304.0 GB | +281.6 GB | ~1.1 | llama.cpp | Why |
| DeepSeek V4 Flash 284B-A13B New | 284B MoE / 13B act | Q6_K | 216.9 GB | 0.38 GB | 217.9 GB | +195.5 GB | ~1.5 | llama.cpp | Why |
| Qwen3 235B-A22B | 235B MoE / 22B act | Q6_K | 179.5 GB | 1.47 GB | 181.5 GB | +159.1 GB | ~0.9 | llama.cpp | Why |
| Qwen3.5 122B-A10B | 125B MoE / 10B act | Q6_K | 95.5 GB | 0.19 GB | 96.2 GB | +73.8 GB | ~2.3 | llama.cpp | Why |
| Nemotron 3 Super 120B-A12B | 124B MoE / 12B act | Q6_K | 94.7 GB | 0.06 GB | 95.4 GB | +73.0 GB | ~1.9 | llama.cpp | Why |
| Ling 3.0 Flash 124B-A5B New | 124B MoE / 5.1B act | Q6_K | 94.7 GB | 0.06 GB | 95.4 GB | +73.0 GB | ~4.5 | llama.cpp | Why |
| Mistral Small 4 119B-A6B | 119B MoE / 6.5B act | Q6_K | 90.9 GB | 0.18 GB | 91.7 GB | +69.3 GB | ~3.6 | llama.cpp | Why |
| gpt-oss 120B | 117B MoE / 5.1B act | MXFP4 | 60.5 GB | 0.29 GB | 61.4 GB | +39.0 GB | ~7.8 | llama.cpp | Why |
| Llama 4 Scout 109B-A17B | 109B MoE / 17B act | Q6_K | 83.2 GB | 1.50 GB | 85.3 GB | +62.9 GB | ~1.4 | llama.cpp | Why |
| Llama 3.3 70B Instruct | 70.6B | Q6_K | 53.9 GB | 2.50 GB | 57.0 GB | +34.6 GB | ~1.0 | llama.cpp | Why |
| DeepSeek-R1-Distill-Llama 70B | 70.6B | Q6_K | 53.9 GB | 2.50 GB | 57.0 GB | +34.6 GB | ~1.0 | llama.cpp | Why |
Totals = quantised weights + f16 KV cache at 8K 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 600 GB/s peak memory bandwidth at batch 1 — not measured. Read the method.