Local AI Advisor

Compare models on your machine

Not generic leaderboards: every model is rated for your hardware, your tool and your workload — so you can see which one will actually feel better to use.

Hardware
Use case
Tool
Other apps
Context
Gemma 4 12BQwen3.6 35B-A3BQwen3.5 35B-A3BGLM-4.7-Flash (30B-A3B)

MacBook Pro M4 Pro 48 GB · Agentic coding / medium repository

Gemma 4 12B

6-bit · LM Studio

Acceptable

Usable for agentic coding, but expect compromises: generation (17–25 tok/s) is slow for agentic coding — slow steps compound across many agent iterations; ingesting a prompt of 18K tokens takes ≈75 s and each step ≈35 s; across ~25 calls a task takes ≈15 min.

MemoryExcellent

≈25 GB headroom

GenerationPoor

17–25 tok/s

Prompt processingPoor

≈75 s first prompt

ContextPoor

32K context

Tool compatibilityExcellent

Official

Workload suitabilityPoor

Partly suited

Qwen3.6 35B-A3B

5-bit · LM Studio

Comfortable

Yes — this should be comfortable for agentic coding.

MemoryGood

≈12 GB headroom

GenerationExcellent

50–70 tok/s

Prompt processingGood

≈20 s first prompt

ContextExcellent

32K context

Tool compatibilityExcellent

Official

Workload suitabilityGood

Suited

Qwen3.5 35B-A3B

5-bit · LM Studio

Comfortable

Yes — this should be comfortable for agentic coding.

MemoryGood

≈12 GB headroom

GenerationExcellent

50–70 tok/s

Prompt processingGood

≈20 s first prompt

ContextExcellent

32K context

Tool compatibilityExcellent

Official

Workload suitabilityGood

Suited

GLM-4.7-Flash (30B-A3B)

6-bit · LM Studio

Comfortable

Yes — this should be comfortable for agentic coding.

MemoryGood

≈10 GB headroom

GenerationGood

35–50 tok/s

Prompt processingGood

≈25 s first prompt

ContextGood

32K context

Tool compatibilityExcellent

Official

Workload suitabilityGood

Suited