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Running 14B Models on Apple Silicon

14B models are the sweet spot for local LLM inference on Mac: significantly smarter than 7–8B models, yet runnable on any Mac with 16 GB RAM. We benchmarked Qwen 2.5 14B Instruct across 50+ chip configurations — from M1 Pro to M5 Max — to show exactly what speed to expect from each machine.

RAM requirements for 14B models

A 14B parameter model needs roughly:

• Q4_K_M: ~10 GB — fits in any 16 GB Mac, leaving 6 GB for OS and runtime
• Q5_K_M: ~12 GB — fits in 16 GB but tight; 24 GB recommended
• Q8_0: ~15 GB — fits in 16 GB with very tight margin; 24 GB is comfortable
• F16 / BF16 (full precision): ~28 GB — requires 32 GB or more

Q4_K_M is the recommended default for 14B: good quality/speed balance, fits in every Mac, and delivers most of the model's capability. For coding or instruction-following tasks where quality matters most, Q8_0 on 24 GB+ is worth it.

Unlike 70B models (which require 64 GB+ for Q4), 14B is truly accessible. The key question isn't whether your Mac can run a 14B model, but how fast it runs.

Speed tiers: Ultra → Max → Pro → base

Ultra/Max-flagship tier (28–37 tok/s)

Ultra chips dominate 14B inference — but M5 Max crashes the party. Its 34.3 tok/s puts it on par with M3 Ultra 60-core and M2 Ultra 60-core, despite being a Max chip at just 36 GB RAM.

M3 Ultra 80-core 256 GB and M2 Ultra 76-core 128 GB are essentially tied at ~36.6–36.7 tok/s. Unless you need the 512 GB option, M2 Ultra is just as fast.

Max tier (15–30 tok/s)

Max chips span a wide range depending on GPU core count and generation. M4 Max 40-core and M2 Max 38-core lead; M3 Max 30-core and M4 Max 32-core are notably slower.

Note the M3 Max 30-core at 20.8 tok/s — similar to M1 Max 32-core at 20.1 tok/s. The M3 Max 30-core generation had bandwidth cuts that erased most of the architectural improvements. M2 Max 38-core at 25.2 tok/s is significantly faster than M3 Max 30-core.

Pro tier (10–18 tok/s)

Pro chips can run 14B models smoothly at Q4 — the result is conversational speed, useful for coding help or casual chat, though not fast enough for rapid iteration.

M4 Pro 20-core at 18 tok/s is the fastest Pro chip — and it handily beats older Max chips like M1 Max 24-core (15.1 tok/s) on 14B. The M3 Pro 18-core at 12 tok/s is similar to M1 Pro 16-core despite being 2 generations newer — M3 Pro bandwidth regression strikes again.

Base chip tier (4–12 tok/s)

Base M-series chips (M1 through M5, no Pro/Max/Ultra suffix) can technically run 14B Q4_K_M, but speed falls below comfortable conversational range. Plan for long waits or use smaller models.

At 5–11 tok/s, 14B models work but feel slow. The M5 at 11.5 tok/s is borderline usable for casual chat. For base chip Macs, consider sticking with 8B models for a faster experience.

Recommendations by use case

Just starting out / casual chatting

Any Mac with 16 GB RAM. M4 Pro MacBook Pro (24 GB) at 16–18 tok/s is the sweet spot — fast enough for comfortable chat, affordable, and portable. For desktop: M4 Mac mini with M4 Pro upgrade.

Coding assistant / daily developer use

M4 Pro 20-core or better. 18 tok/s at Q4, or Q8_0 on 24 GB for better code quality at ~13–14 tok/s. The M4 Pro MacBook Pro 24 GB is the minimum; M4 Pro 48 GB gives more headroom for Q8.

Power user / fast iteration

M4 Max 40-core or M2 Max 38-core. M4 Max 40-core at 30 tok/s is near real-time; M2 Max 38-core at 25 tok/s (96 GB) is competitive and may offer better value refurbished. M3 Max 40-core (128 GB) at 25.5 tok/s is also solid. Avoid M3 Max 30-core — similar speed to M1 Max despite being 2 generations newer.

Fastest possible / professional

M2 Ultra 76-core or M3 Ultra 80-core. Both deliver 36–37 tok/s on Qwen 2.5 14B — near the bandwidth ceiling. M2 Ultra and M3 Ultra are essentially tied, so unless you need 512 GB RAM, M2 Ultra (often available refurbished) is excellent value. Note: M4 Max 40-core is only slightly behind (30 tok/s) at a fraction of the Ultra price.

Key insights from the data

• M3 Pro and M3 Max 30-core had bandwidth regressions — M3 Pro is slower than M2 Pro, and M3 Max 30-core is barely faster than M1 Max 32-core. If you have M2 Pro or M2 Max 38-core, skipping M3 is the right call.
• M2 Max 38-core beats M4 Pro 20-core — 25 vs 18 tok/s on 14B, despite M4 Pro being 2 generations newer. Bandwidth (not architecture) determines 14B speed.
• M5 Max matches M3 Ultra 60-core on 14B — M5 Max 32-core (34.3 tok/s) lands right next to M3 Ultra 60-core (34.4 tok/s). A Max chip reaching Ultra-class throughput on 14B models is unprecedented. Details →
• M2 Ultra and M3 Ultra are essentially tied on 14B — 36.6 vs 36.7 tok/s. The M3 Ultra upgrade buys you more RAM (up to 512 GB) and slightly higher 8B throughput, but no 14B advantage.
• M1 Ultra 64-core (32.4 tok/s) still competitive — faster than M4 Max 40-core (30.1 tok/s) on 14B models. Ultra bandwidth carries across generations.
• RAM tier affects speed more than model generation at 14B — M2 Max 38-core 96 GB (25.2) beats M4 Max 32-core 36 GB (24.6) despite being older and "smaller", because both are in the 400–500 GB/s bandwidth range.

Which 14B models to run

These benchmarks use Qwen 2.5 14B Instruct Q4_K_M as the reference, but the speeds apply to any comparable 14B dense model:

• Qwen 3 14B (dense) — successor to Qwen 2.5 14B; similar speed, improved instruction following
• Llama 3.1 8B — actually faster than 14B by ~2× due to fewer parameters; use when speed matters more than capability
• Phi-4 (14B) — Microsoft's strong 14B model; similar speed profile to Qwen 2.5 14B
• Mistral 12B — slightly fewer parameters (~12B), marginally faster
• Gemma 3 12B — Google's multimodal option in this class

For the fastest 14B-class experience on any Mac, consider Qwen 3 30B A3B MoE — it activates only 3B parameters per token, delivering 60–90 tok/s on M4 Max with 32B equivalent quality. See the Qwen 3 guide →

See also