Local AI Advisor

Compare hardware for your workload

The same model and the same workload on different machines. There is no universal winner — each column lists what that machine does better and worse for this job.

Model
Quantization
Use case
Tool
Context
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Qwen3-Coder 30B-A3B Instruct · Agentic coding / medium repository

Machine64 GB unified memory · 273 GB/s128 GB unified memory · 614 GB/s256 GB unified memory · 819 GB/s32 GB VRAM (1792 GB/s) + 64 GB RAM128 GB unified memory · 256 GB/s
Comfort ratingComfortableComfortableComfortableComfortableComfortable
Quantization · runtime5-bit · LM Studio6-bit · LM Studio6-bit · LM StudioQ6_K · OllamaQ6_K · Lemonade
Memory needed24 GB27 GB27 GB28 GB28 GB
Headroom28 GB88 GB216 GB3.5 GB86 GB
Generation30–40 tok/s45–80 tok/s50–70 tok/s150–200 tok/s30–40 tok/s
Prompt processing740–1000 tok/s4530–7560 tok/s2440–3300 tok/s12220–16530 tok/s770–1040 tok/s
First prompt≈30 s≈4 s≈9 s≈2 s≈25 s
Per turn / step≈15 s≈7 s≈8 s≈3 s≈15 s
Typical task≈8 min≈3 min≈4 min≈70 s≈7 min
Max practical context64K128K128K64K64K
ConfidenceMedium confidenceLow confidenceMedium confidenceMedium confidenceMedium confidence
Approx. price$2,199$5,599$6,299$3,028$2,000
Tradeoffs
  • − Slowest generation of this set
  • − Slowest prompt processing — long prompts wait longest
  • + Portable
  • − Performance estimate has low confidence
  • + Most memory headroom (room for bigger models or longer context)
  • + Fastest generation
  • + Fastest prompt processing
  • − Least headroom
  • − Little VRAM left for larger models
  • + Lowest price of this set