What can Intel Arc Pro B60 24GB run for chat?
Build: Intel Arc Pro B60 24GB + — + 32 GB RAM (windows)
Runs comfortably175 models
Ranked by fit for chat use case + predicted speed. Click a row for VRAM breakdown.
Quant: Q4_K_MContext: 8,192VRAM: 1.6 GBHeadroom: 22.4 GB566tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 2.8 GBHeadroom: 21.2 GB200tok/sEstimated
Quant: Q4_K_MContext: 2,048VRAM: 1.8 GBHeadroom: 22.2 GB309tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 3.2 GBHeadroom: 20.8 GB170tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 17.9 GBHeadroom: 6.1 GB142tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 3.8 GBHeadroom: 20.2 GBollama run alibayram/kumru:latest142tok/sEstimated
ollama run alibayram/kumru:latestQuant: Q4_K_MContext: 2,048VRAM: 1.8 GBHeadroom: 22.2 GB309tok/sEstimated
Quant: Q4_K_MContext: 2,048VRAM: 1.8 GBHeadroom: 22.2 GB309tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 3.6 GBHeadroom: 20.4 GB142tok/sEstimated
Quant: Q4_K_MContext: 8,192VRAM: 3.2 GBHeadroom: 20.8 GB170tok/sEstimated
Quant: Q4_K_MContext: 2,048VRAM: 1.4 GBHeadroom: 22.6 GB566tok/sEstimated
Quant: Q4_K_MContext: 4,096VRAM: 3.1 GBHeadroom: 20.9 GB170tok/sEstimated
Runs with tradeoffs56 models
Tight VRAM, partial CPU offload, or context-limited.
Quant: Q4_K_MContext: 8,192VRAM: 22.6 GBHeadroom: 1.4 GB- • Tight VRAM fit — only 1.4 GB headroom left for context growth
17tok/sEstimated
- • Tight VRAM fit — only 1.4 GB headroom left for context growth
Quant: Q8_0Context: 8,192VRAM: 20.7 GBHeadroom: 3.3 GB- • Tight VRAM fit — only 3.3 GB headroom left for context growth
ollama run mistral-nemo:12b16tok/sEstimated
- • Tight VRAM fit — only 3.3 GB headroom left for context growth
ollama run mistral-nemo:12bQuant: Q8_0Context: 8,192VRAM: 20.7 GBHeadroom: 3.3 GB- • Tight VRAM fit — only 3.3 GB headroom left for context growth
ollama run gemma3:12b16tok/sEstimated
- • Tight VRAM fit — only 3.3 GB headroom left for context growth
ollama run gemma3:12bQuant: Q4_K_MContext: 4,096VRAM: 20.9 GBHeadroom: 3.1 GB- • Tight VRAM fit — only 3.1 GB headroom left for context growth
14tok/sEstimated
- • Tight VRAM fit — only 3.1 GB headroom left for context growth
Quant: Q4_K_MContext: 2,048VRAM: 21.1 GBHeadroom: 2.9 GB- • Tight VRAM fit — only 2.9 GB headroom left for context growth
ollama run gemma4:26b-moe13tok/sEstimated
- • Tight VRAM fit — only 2.9 GB headroom left for context growth
ollama run gemma4:26b-moeQuant: Q4_K_MContext: 2,048VRAM: 21.2 GBHeadroom: 2.8 GB- • Tight VRAM fit — only 2.8 GB headroom left for context growth
ollama run gemma3:27b13tok/sEstimated
- • Tight VRAM fit — only 2.8 GB headroom left for context growth
ollama run gemma3:27bQuant: Q4_K_MContext: 2,048VRAM: 23.8 GBHeadroom: 0.2 GB- • Tight VRAM fit — only 0.2 GB headroom left for context growth
ollama run gemma4:31b11tok/sEstimated
- • Tight VRAM fit — only 0.2 GB headroom left for context growth
ollama run gemma4:31bQuant: Q4_K_MContext: 8,192VRAM: 37.0 GBHeadroom: 6.2 GB- • Partial CPU offload: ~35% of layers run on CPU
11tok/sEstimated
- • Partial CPU offload: ~35% of layers run on CPU
What if you upgraded?
Hypothetical scenarios. We re-ran the compatibility engine for each.
+32 GB system RAM
~$80–150
Doubles your CPU-offload working set. Helps when models don't quite fit in VRAM.
Unlocks: 9 new comfortable, 73 new tradeoff
- • Gemma 3 270M
- • SmolLM2 135M Instruct
- • SmolLM2 360M Instruct
- • VBART Large (Turkish Summarization)
Upgrade to Intel Gaudi 2
see current pricing
96 GB VRAM (vs your 24 GB) plus a bandwidth jump from ~456 GB/s to ~2450 GB/s.
Unlocks: 90 new comfortable
- • Llama 4 Scout
- • Qwen 3 30B-A3B
- • Qwen 2.5 Coder 32B Instruct
- • Qwen3.6 27B
Add a second Intel Arc Pro B60 24GB
see current pricing
Tensor parallelism splits the model across both cards, effectively doubling VRAM. Bandwidth doesn't double — runs ~1.5× the single-card speed in practice.
Unlocks: 62 new comfortable
- • Qwen 3 30B-A3B
- • Qwen 2.5 Coder 32B Instruct
- • Qwen3.6 27B
- • Qwen 3 32B
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Won't runtop 5 popular models
Need more memory than you have. Shown for orientation.
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
—
Even with CPU offload, needs more memory than your VRAM (24 GB) + 60% of system RAM (19 GB) combined.
How to read these numbers
Want a specific benchmark we don't have? Email Contact support and we'll prioritize it.