llmrun

Apple · M3 · Laptop

Best AI Models for MacBook Pro 14" M3 (24 GB)

Runs 27–31B models at 4 tok/s; 9B and 14B fit but are slow (11 and 8 tok/s), and 70B doesn't fit in 20.5 GB.

24 GB unified20.5 GB for models102.4 GB/s7 TFLOPS FP162023

Top models by task

#ModelSpeedllmrun ScoreQuant · Memory
1
Q4_K_M · 16.5 GB
22.6 tok/sQ4_K_M · 16.5 GB
2
Qwen3.5 9BAlibaba
Q4_K_M · 6.6 GB
11.3 tok/sQ4_K_M · 6.6 GB
3
Q4_K_M · 13.1 GB
24.4 tok/sQ4_K_M · 13.1 GB
4
Q4_K_M · 5.0 GB
25.2 tok/sQ4_K_M · 5.0 GB
5
Qwen3.5 4BAlibaba
Q4_K_M · 3.4 GB
22.0 tok/sQ4_K_M · 3.4 GB
See all 293 models on the MacBook Pro 14" M3 →Bars = traction for models without a Score yet
Task rankings use that task's benchmarks, topped up from Overall when short; bars mark well-known models with no Score yet.

About the MacBook Pro 14" M3 (24 GB)

The MacBook Pro 14" M3 is a 24 GB laptop with more memory than speed: it runs 27–31B models at 4 tok/s. macOS keeps about 3.5 GB, leaving 20.5 GB for models. Prompt reading is its weak spot: a 4K-token prompt waits 26 s before the first word on Gemma 4 26B A4B IT. M3 generation, released 2023; the newer M4 writes 14% faster with 1.2× the compute.

Speed in 24 GB#5102 GB/s
Prompt reading#57 TFLOPS
For models20.5 GBmacOS keeps 3.5 GB
ChipM3released 2023

MacBook Pro 14" M3 strengths and weaknesses

Strengths

  • Runs 35B MoE models: Qwen3.6 35B A3B at 22.6 tok/s in 19.8 GB

Weaknesses

  • 70B models don't fit: Llama 3.3 70B Instruct needs 51.3 GB at Q4 vs 20.5 GB usable here
  • Slow on large dense models: Qwen3.8 27B at 4.1 tok/s
  • Slow prompt reading: A 32K-token prompt on Gemma 4 26B A4B IT waits 3.4 min for the first token
  • No CUDA: vLLM, AWQ, GPTQ and FP8 builds don't run; use GGUF or MLX

Memory for models

20.5 GB of 24 GB
9B6.6 GB14B11.9 GB27–31B17.9 GB35B MoE19.8 GB
9B6.6 GB14B11.9 GB35B MoE19.8 GB
For models 20.5 GBmacOS keeps 3.5 GBModel size at Q4

70B models need 51.3 GB at Q4, more than the 20.5 GB available.

Similar devices and alternatives

Other memory sizes of the same machine first, then machines and GPUs people weigh against it, each with the one reason it is worth a look. Speeds on Qwen3.6 35B A3B.

MacBook Pro 14" M3 tokens per second by model size

Output speed depends on memory bandwidth (102 GB/s). Grey rows need more than the 20.5 GB available.

  1. 9BQwen3.5 9B · Q4_K_M · 6.6 GB
    11.3tok/s
  2. 14BQwen3 14B · Q4_K_M · 11.9 GB slow
    7.5tok/s
  3. 27–31BQwen3.8 27B · Q4_K_M · 17.9 GB slow
    4.1tok/s
  4. 35B MoEQwen3.6 35B A3B · IQ4_XS · 19.8 GB tight · IQ4_XS
    22.6tok/s
  5. 70BLlama 3.3 70B Instruct · does not fit
    needs 51.3 GB
  6. 120B MoEGPT OSS 120B · does not fit
    needs 70.8 GB

Estimated speeds: Q4_K_M, 4K context, one user. How we estimate

Chip generations: writing vs compute

M1 → M5
Writing speed (tok/s)Compute (TFLOPS FP16)
1×2×3×4×M12021M22023M32023M42024M52025M1 · 5.2 TFLOPS FP16M1 · 24.9 tok/s · 68.3 GB/sM2 · 7.2 TFLOPS FP16M2 · 22.1 tok/s · 100 GB/sM3 · 7 TFLOPS FP16M3 · 22.6 tok/s · 102.4 GB/sM4 · 8.6 TFLOPS FP16M4 · 25.7 tok/s · 120 GB/sM5 · 16 TFLOPS FP16M5 · 31.1 tok/s · 153.6 GB/sCompute 3.1×Writing +25%
1×2×3×4×M12021M22023M32023M42024M52025M1 · 5.2 TFLOPS FP16M1 · 24.9 tok/s · 68.3 GB/sM2 · 7.2 TFLOPS FP16M2 · 22.1 tok/s · 100 GB/sM3 · 7 TFLOPS FP16M3 · 22.6 tok/s · 102.4 GB/sM4 · 8.6 TFLOPS FP16M4 · 25.7 tok/s · 120 GB/sM5 · 16 TFLOPS FP16M5 · 31.1 tok/s · 153.6 GB/sCompute 3.1×Writing +25%

Writing speed follows memory bandwidth and barely moved: 24.9 to 31.1 tok/s since the M1. Compute, which sets how fast prompts are read, grew 3.1×. Indexed to the M1; speeds on Qwen3.6 35B A3B, same 16 GB.

All 1068 models on the MacBook Pro 14" M3

Featured only

Best quant that fits in 20.5 GB, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with MacBook Pro 14" M3 (24 GB) — ranked by Score, recency and Fit
ModelVRAMScoreFit
Phi 3.5 MoE Instruct
41.9B·Q2_K·21.3 t/s·131K ctx
20.2 GBC32, Usable
7B·Q4_K_M·15.5 t/s·2K ctx
4.6 GBB55, Decent
8.0B·Q4_K_M·13.3 t/s·8K ctx
6.2 GBB53, Decent
13B·Q4_K_M·8.4 t/s
11.5 GBB46, Decent
Qwen2.5 Coder 0.5B
494M·Q4_K_M·115.6 t/s·33K ctx
0.8 GBS94, Runs great
Qwen1.5 7B
7.7B·Q4_K_M·11.9 t/s·33K ctx
13.5 GBB51, Decent
Kai 30B Instruct
32.8B·Q2_K·4.9 t/s·33K ctx
18.5 GBD28, Barely runs
6.7B·Q4_K_M·13.2 t/s·4K ctx
6.5 GBB52, Decent
13B·Q4_K_M·8.4 t/s
11.5 GBB46, Decent
31.7B·Q2_K·25.5 t/s
18.6 GBB50, Decent
Codegemma 7B IT
8.5B·Q4_K_M·12.7 t/s
8.2 GBB51, Decent
7B·Q4_K_M·13.0 t/s·4K ctx
6.5 GBB52, Decent
8.1B·BF16·4.0 t/s
20.4 GBF9, Won't fit
8.0B·Q4_K_M·13.3 t/s·8K ctx
6.2 GBB53, Decent
Qwen2.5 Coder 1.5B
1.5B·Q4_K_M·56.0 t/s·33K ctx
1.7 GBA82, Runs well

MacBook Pro 14" M3 specs

Specs

Chip
M3
CPU cores
8
GPU cores
10
Unified memory
24 GB
For models
20.5 GB (macOS keeps 3.5 GB)
Memory bandwidth
102.4 GB/s
FP16 (dense)
7 TFLOPS
Neural Engine
18 TOPS
Released
2023-11-07

MacBook Pro 14" M3 FAQ

How much memory is available for AI on the MacBook Pro 14" M3 (24 GB)?

About 20.5 GB of the 24 GB. macOS keeps roughly 3.5 GB for itself and other apps.

What is the largest model the MacBook Pro 14" M3 (24 GB) can run?

Qwen3.6 35B A3B (36.0B) at IQ4_XS uses 19.8 GB, 97% of the available memory, and runs at about 22.6 tok/s.

Can the MacBook Pro 14" M3 (24 GB) run 70B models?

No. Llama 3.3 70B Instruct needs 51.3 GB at Q4, more than the 20.5 GB available.

How long does the MacBook Pro 14" M3 (24 GB) take to read a long prompt?

On Gemma 4 26B A4B IT, about 26 s for a 4K-token prompt and 3.4 min for a 32K-token document before the first word appears.

Is renting a GPU cheaper than buying the MacBook Pro 14" M3?

An RTX 3090 (24 GB) rents from $0.16/hr.