Best LLMs for 10 GB
Pick your memory. We rank every catalogued model that fits at its recommended quantization, by task, and show what the next tier up unlocks.
Written by Jakub Rusinowski · Last updated
Memory tier10 GBFor example Intel Arc B570, RTX 3080 (10GB), GTX 1080 Ti
Models that fit83entirely in memory
Best at 10 GB, by task
Score is the task-specific quality score on a 0–100 scale; speed is estimated for the Intel Arc B570.
CodingAll ranked →
1Qwen 3 14BQ4_K_M · 8.9 GB932Granite 3.0 8B InstructQ4_K_M · 4.8 GB923DeepSeek R1 Distill Qwen 14BQ4_K_M · 8.5 GB90ReasoningAll ranked →
1Qwen 3 14BQ4_K_M · 8.9 GB942DeepSeek R1 Distill Qwen 14BQ4_K_M · 8.5 GB943Phi-4 (14B)Q4_K_M · 8.5 GB94The strongest that fit
Top 15, by logic and coding
| Model | Memory · marker = 10 GB | VRAM | Speed on Intel Arc B570 (est.) | Score |
|---|---|---|---|---|
| Qwen 2.5 14B Instruct Qwen 2.5 Family · Q4_K_M | 8.5 GB | — | 95 | |
| Qwen 3 14B Qwen 3 · Q4_K_M | 8.9 GB | — | 94 | |
| DeepSeek R1 Distill Qwen 14B DeepSeek R1 · Q4_K_M | 8.5 GB | ~23 tok/s | 92 | |
| Phi-4 (14B) Phi-4 Family · Q4_K_M | 8.5 GB | — | 92 | |
| Granite 3.0 8B Instruct Granite 3.0 · Q4_K_M | 4.8 GB | ~36 tok/s | 90 | |
| Ternary Bonsai 27B Bonsai 27B · Ternary (1.58-bit, ~1.71 bpw) | 5.8 GB | ~30 tok/s | 90 | |
| Qwen 2.5 7B Instruct Qwen 2.5 Family · Q4_K_M | 4.6 GB | ~40 tok/s | 89 | |
| Qwen 3 8B Qwen 3 · Q4_K_M | 5 GB | ~35 tok/s | 89 | |
| DeepSeek R1 Distill Llama 8B DeepSeek R1 · Q4_K_M | 4.8 GB | ~36 tok/s | 89 | |
| Mistral NeMo 12B Mistral Family · Q4_K_M | 7.2 GB | ~26 tok/s | 88 | |
| Gemma 3 12B Instruct Gemma 3 · Q4_K_M | 7.2 GB | ~26 tok/s | 87 | |
| InternLM 3 8B Instruct InternLM 3 · Q4_K_M | 5.3 GB | ~35 tok/s | 86 | |
| Qwen 3.5 9B Qwen 3.5 · Q4_K_M | 5.4 GB | ~35 tok/s | 86 | |
| 1-bit Bonsai 27B Bonsai 27B · 1-bit (binary, ~1.125 bpw) | 3.8 GB | ~41 tok/s | 86 | |
| Yi 1.5 9B Chat Yi 1.5 Family · Q4_K_M | 5.3 GB | ~34 tok/s | 85 |
FAQ
What LLMs run well with 10 GB VRAM?
Qwen 2.5 Family, Qwen 3, DeepSeek R1, Phi-4 Family, Granite 3.0 all fit in 10 GB VRAM.
Which GPUs have 10 GB VRAM?
Intel Arc B570, NVIDIA GeForce RTX 3080 (10GB), NVIDIA GeForce GTX 1080 Ti, NVIDIA GeForce RTX 2080 Ti.
All tiers at a glance
| Memory | Models fit | Best overall | Largest that fits |
|---|---|---|---|
| 4 GB | 32 | Gemma 3 4B Instruct | Gemma 3 4B Instruct · 2.4 GB |
| 6 GB | 56 | Granite 3.0 8B Instruct | Qwen 2.5 VL 7B Instruct · 5 GB |
| 8 GB | 71 | Granite 3.0 8B Instruct | Falcon 3 10B Instruct · 6.2 GB |
| 10 GB | 83 | Qwen 2.5 14B Instruct | Qwen 3 14B · 8.9 GB |
| 12 GB | 85 | Qwen 2.5 14B Instruct | StarCoder 2 15B · 9.4 GB |
| 16 GB | 95 | Qwen 2.5 14B Instruct | Mistral Small 3 (24B) · 14.5 GB |
| 20 GB | 111 | Qwen 2.5 14B Instruct | Gemma 4 31B · 18.7 GB |
| 24 GB | 131 | Qwen 2.5 Coder 32B | Qwen 3.6 35B-A3B · 21.1 GB |
| 32 GB | 132 | Qwen 2.5 Coder 32B | Qwen 3.6 35B-A3B · 21.1 GB |
| 48 GB | 138 | Qwen 2.5 72B Instruct | Qwen 2.5 VL 72B Instruct · 44.3 GB |
| 64 GB | 143 | Qwen 2.5 72B Instruct | Qwen3-Coder-Next (80B-A3B MoE) · 48.3 GB |
| 80 GB | 152 | Qwen 2.5 72B Instruct | Qwen 3.5 122B-A10B · 73.7 GB |
Buy this hardware Intel Arc B570 10GB — 10 GB VRAM · 150 W board powerDeploy in the cloud now RTX 4090 on RunPod — from $0.34/hr · rate checked 2026-07
or compare on Vast.ai from $0.35/hr (typical low · varies)
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Can-I-Run Pages Near 10 GB
- DeepSeek R1 on NVIDIA GeForce RTX 3080 (10GB)
- DeepSeek R1 on Intel Arc B570
- Llama 3.3 on NVIDIA GeForce RTX 3080 (10GB)
- Llama 3.3 on Intel Arc B570
- Llama 3.1 Family on NVIDIA GeForce RTX 3080 (10GB)
- Llama 3.1 Family on Intel Arc B570
- Command R Family on NVIDIA GeForce RTX 3080 (10GB)
- Command R Family on Intel Arc B570