llmrun

Apple · M3 · Laptop

Best AI Models for MacBook Air 13" M3 (16 GB)

Runs 9B models at 11 tok/s; 14B only just fits in 12.5 GB, and 27–31B doesn't fit.

16 GB unified12.5 GB for models102.4 GB/s7 TFLOPS FP162024

What LLMs can the MacBook Air 13" M3 run?

#ModelSpeedllmrun ScoreQuant · Memory
1
Q4_K_M · 6.6 GB · 11.3 t/s
11.3 tok/sQ4_K_M · 6.6 GB
2
Qwen3.5 4BAlibaba
Q4_K_M · 3.4 GB · 22.0 t/s
22.0 tok/sQ4_K_M · 3.4 GB
3
Q4_K_M · 5.0 GB · 25.2 t/s
25.2 tok/sQ4_K_M · 5.0 GB
4
Ling 3.0 TinyInclusion AI
Q4_K_M · 5.5 GB · 56.1 t/s
56.1 tok/sQ4_K_M · 5.5 GB
5
Q4_K_M · 3.5 GB · 20.9 t/s
20.9 tok/sQ4_K_M · 3.5 GB
See all 281 models on the MacBook Air 13" M3 →Bars = traction for models without a Score yet

About the MacBook Air 13" M3 (16 GB)

The MacBook Air 13" M3 is a 16 GB laptop with more memory than speed: it runs 9B models at 11 tok/s. macOS keeps about 3.5 GB, leaving 12.5 GB for models. Prompt reading is its weak spot: a 4K-token prompt waits 56 s before the first word on Qwen3.5 9B. M3 generation, released 2024; the newer M4 writes 12% faster with 1.0× the compute.

Speed in 16 GB#5102 GB/s
Prompt reading#67 TFLOPS
For models12.5 GBmacOS keeps 3.5 GB
ChipM3released 2024

MacBook Air 13" M3 strengths and weaknesses

Weaknesses

  • 27–31B models don't fit: Qwen3.8 27B needs 17.9 GB at Q4 vs 12.5 GB usable here
  • Little room for context: Qwen3 14B uses 11.9 of 12.5 GB usable, 0.6 GB left
  • Slow prompt reading: A 32K-token prompt on Qwen3.5 9B waits 7.5 min for the first token
  • No CUDA: vLLM, AWQ, GPTQ and FP8 builds don't run; use GGUF or MLX

Memory for models

12.5 GB of 16 GB
9B6.6 GB14B11.9 GB
9B6.6 GB14B11.9 GB
For models 12.5 GBmacOS keeps 3.5 GBModel size at Q4

27–31B models need 17.9 GB at Q4, more than the 12.5 GB available. The 24 GB config fits Qwen3.8 27B →Or rent an RTX 3090 (24 GB) from $0.19/hr →

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 Air 13" M3 tokens per second by model size

Output speed depends on memory bandwidth (102 GB/s). Grey rows need more than the 12.5 GB available.

  1. 9BQwen3.5 9B · Q4_K_M · 6.6 GB
    11.3tok/s
  2. 14BQwen3 14B · Q4_K_M · 11.9 GB tight · Q4_K_M
    7.5tok/s
  3. 27–31BQwen3.8 27B · not at 4-bit
    needs 17.9 GB
  4. 35B MoEQwen3.6 35B A3B · not at 4-bit
    needs 22.0 GB
  5. 70BLlama 3.3 70B Instruct · not at 4-bit
    needs 51.3 GB
  6. 120B MoEGPT OSS 120B · not at 4-bit
    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×M12020M22022M32024M42025M52026M1 · 5.2 TFLOPS FP16M1 · 24.9 tok/s · 68.3 GB/sM2 · 7.2 TFLOPS FP16M2 · 33.4 tok/s · 100 GB/sM3 · 7 TFLOPS FP16M3 · 34.0 tok/s · 102.4 GB/sM4 · 6.9 TFLOPS FP16M4 · 38.1 tok/s · 120 GB/sM5 · 12.8 TFLOPS FP16M5 · 44.9 tok/s · 153.6 GB/sCompute 2.5×Writing +80%
1×2×3×M12020M22022M32024M42025M52026M1 · 5.2 TFLOPS FP16M1 · 24.9 tok/s · 68.3 GB/sM2 · 7.2 TFLOPS FP16M2 · 33.4 tok/s · 100 GB/sM3 · 7 TFLOPS FP16M3 · 34.0 tok/s · 102.4 GB/sM4 · 6.9 TFLOPS FP16M4 · 38.1 tok/s · 120 GB/sM5 · 12.8 TFLOPS FP16M5 · 44.9 tok/s · 153.6 GB/sCompute 2.5×Writing +80%

Writing speed follows memory bandwidth and barely moved: 24.9 to 44.9 tok/s since the M1. Compute, which sets how fast prompts are read, grew 2.5×. Indexed to the M1; speeds on Qwen3.6 35B A3B, same 16 GB.

All 971 models on the MacBook Air 13" M3

Featured only

Best quant that fits in 12.5 GB, ordered by llmrun Score. Fit grades how well it runs here, S best. How ranking works

LLM models compatible with MacBook Air 13" M3 (16 GB) — ranked by Score, recency and Fit
ModelVRAMScoreFit
Granite 4.1 8B
Q4_K_M·12.1 t/s
8.3 GBB51, Decent
Qwen3.5 9B Base
Q4_K_M·11.3 t/s
6.6 GBB50, Decent
A.X 4.0 Light
Q4_K_M·15.0 t/s
5.6 GBB55, Decent
Depguard Jev Style 1.5B
Q4_K_M·56.0 t/s
1.7 GBA82, Runs well
Mailguard Jev Style 1.5B
Q4_K_M·56.0 t/s
1.7 GBA82, Runs well
Helium 1 2B
Q4_K_M·41.0 t/s
2.0 GBA75, Runs well
AFM 4.5B
Q4_K_M·22.3 t/s
4.3 GBB62, Decent
Q4_K_M·11.3 t/s
6.6 GBB50, Decent
FP16·7.3 t/s
10.0 GBB45, Decent
Q4_K_M·64.0 t/s
2.8 GBA84, Runs well
Codeguard Jev Style 1.5B
Q4_K_M·56.0 t/s
1.7 GBA82, Runs well
ReaderLM v2
Q4_K_M·56.0 t/s
1.7 GBA82, Runs well
Q4_K_M·13.3 t/s
7.3 GBB53, Decent
XiaoHong V1
Q4_K_M·13.0 t/s
7.6 GBB52, Decent
Q4_K_M·50.5 t/s
1.8 GBA80, Runs well

MacBook Air 13" M3 specs

Specs

Chip
M3
CPU cores
8
GPU cores
10
Unified memory
16 GB
For models
12.5 GB (macOS keeps 3.5 GB)
Memory bandwidth
102.4 GB/s
FP16 (dense)
7 TFLOPS
Neural Engine
18 TOPS
Released
2024-03-08

MacBook Air 13" M3 FAQ

How much memory is available for AI on the MacBook Air 13" M3 (16 GB)?

About 12.5 GB of the 16 GB. macOS keeps roughly 3.5 GB for itself and other apps.

What is the largest model the MacBook Air 13" M3 (16 GB) can run?

GPT OSS 20B (20.9B) is the largest at 4-bit or better: at Q4_K_S it uses 12.4 GB, 99% of the available memory, and runs at about 25.8 tok/s.

Can the MacBook Air 13" M3 (16 GB) run Qwen3.5 9B?

Yes. Qwen3.5 9B fits at Q4_K_M, using 6.6 GB of the 12.5 GB available, and it is the best model that runs well on this machine.

Can the MacBook Air 13" M3 (16 GB) run 27–31B models?

No. Qwen3.8 27B needs 17.9 GB at Q4, more than the 12.5 GB available.

How long does the MacBook Air 13" M3 (16 GB) take to read a long prompt?

On Qwen3.5 9B, about 56 s for a 4K-token prompt and 7.5 min for a 32K-token document before the first word appears.

Is renting a GPU cheaper than buying the MacBook Air 13" M3?

An RTX 3090 (24 GB) rents from $0.17/hr.