Coding Assistant
Coding assistants need fast token generation and low latency. A 7B–14B model at Q4–Q8 gives you near-instant responses. Here is the benchmark data to guide your hardware choice.
Why these models for this use case
Coding assistants benefit from speed over size. A 7B model at Q8 on M4 runs at 60–80 tok/s — fast enough that responses appear nearly instant. The 14B tier gives meaningfully better code quality with only modest speed sacrifice. Models in the Qwen 2.5 and Llama 3 families are popular for coding because they were trained on large code corpora. 32B+ models are overkill for autocomplete but useful for complex refactoring tasks.
Benchmark results — fastest rows first
Filtered to models commonly used for coding assistant. Sorted by avg tok/s descending.
Recommended chips for this use case
Other use cases
Data
benchmarks.json — full dataset · models.json — model summaries · benchmarks.csv