Mistral Nemo 12B
Mistral / 12B / Q4_K_M / ~9.5 GB
Best for: Chat, Translation·Pop: 78/100
Perf: ~33 tok/s · first token ~0.8s
Best for chat, translation. Strong fit for 48 GB RAM with balanced speed and quality.
A 32GB MacBook Pro upgrades translation from "useful" to "trustworthy": 9B-14B multilingual models handle idiom, register, and rare pairs noticeably better, and long documents fit in context whole instead of in slices.
A MacBook Pro gives translation room to grow. The 35GB AI budget on the 48GB default fits 14B multilingual models and long document batches. Active cooling keeps long jobs at full speed. The 307 GB/s M5 Pro path processes whole documents faster than smaller machines. The 8GB to 128GB lineup covers every config ModelFit tracks.
Batch work changes character here. Translate a folder of contracts overnight via the Ollama API and wake up to finished files, with no per-character cloud bill. The 14B class handles idiom and tone across European and Asian pairs better than 9B models. For rare languages, draft locally and escalate only those pairs to a cloud API.
Mistral / 12B / Q4_K_M / ~9.5 GB
Best for: Chat, Translation·Pop: 78/100
Perf: ~33 tok/s · first token ~0.8s
Best for chat, translation. Strong fit for 48 GB RAM with balanced speed and quality.
Mistral / 7B / Q4_K_M / ~5.5 GB
Best for: Chat, Coding·Pop: 74/100
Perf: ~57 tok/s · first token ~0.6s
Best for chat, coding. Strong fit for 48 GB RAM with balanced speed and quality.
Qwen / 2B / Q4_K_M / ~1.8 GB
Best for: Chat, Edge tasks·Pop: 75/100
Perf: ~180 tok/s · first token ~0.5s
Best for chat, edge tasks. Strong fit for 48 GB RAM with balanced speed and quality.
Qwen / 3B / Q4_K_M / ~2.5 GB
Best for: Chat, Coding·Pop: 64/100
Perf: ~133 tok/s · first token ~0.5s
Best for chat, coding. Strong fit for 48 GB RAM with balanced speed and quality.
Gemma / 1B / Q4_K_M / ~1 GB
Best for: Chat, Mobile·Pop: 78/100
Perf: ~180 tok/s · first token ~0.5s
Best for chat, mobile. Strong fit for 48 GB RAM with balanced speed and quality.
Qwen / 0.8B / Q4_K_M / ~0.8 GB
Best for: Chat, Mobile·Pop: 70/100
Perf: ~180 tok/s · first token ~0.5s
Best for chat, mobile. Strong fit for 48 GB RAM with balanced speed and quality.
Granite / 3B / Q4_K_M / ~2 GB
Best for: Lightweight chat, classification, edge tasks·Pop: 56/100
Perf: ~133 tok/s · first token ~0.5s
Best for lightweight chat, classification, edge tasks. Strong fit for 48 GB RAM with balanced speed and quality.
Gemma / 2B / Q4_K_M / ~1.8 GB
Best for: Chat·Pop: 62/100
Perf: ~180 tok/s · first token ~0.5s
Best for chat. Strong fit for 48 GB RAM with balanced speed and quality.
Three cases: nuance, rare pairs, and length. The 14B class keeps formal register consistent across a contract, untangles idioms a 4B renders literally, and degrades more gracefully on lower-resource languages. With ~22GB of budget you can hold a long document in a 32K window so terminology stays consistent start to finish.
For mixed workloads, run a 9B as the daily translator and pull the 14B for documents that will be read by someone who matters. Both leave room for your usual apps alongside.
Test your exact MacBook Pro in the ModelFit wizard to find the translation models that fit your memory budget.
Open ModelFit Wizard