llmrun

Apple · M5 · Laptop

Best AI Models for MacBook Air 13" M5 (24 GB)

Runs 9B models well and fits 35B MoE; 14B and 27–31B fit but are slow (11 and 6 tok/s), and 70B doesn't fit in 20.5 GB.

24 GB unified20.5 GB for models153.6 GB/s16 TFLOPS FP162026

What LLMs can the MacBook Air 13" M5 run?

#ModelSpeedLong context ScoreQuant · Memory
1
Q4_K_M · 6.6 GB
16.9 tok/sQ4_K_M · 6.6 GB
2
Q4_K_M · 13.1 GB
34.6 tok/sQ4_K_M · 13.1 GB
3
Q4_K_M · 7.9 GB
20.3 tok/sQ4_K_M · 7.9 GB
4
Q4_K_M · 2.3 GB
131 tok/sQ4_K_M · 2.3 GB
5
Qwen3.5 4BAlibaba
Q4_K_M · 3.4 GB
33.0 tok/sQ4_K_M · 3.4 GB
See all 293 models on the MacBook Air 13" M5 →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 Air 13" M5 (24 GB)

The MacBook Air 13" M5 is a mid-range 24 GB laptop: it runs 9B models well and fits 35B MoE. Among 24 GB machines, only the M5 Pro and M4 Pro write faster. macOS keeps about 3.5 GB, leaving 20.5 GB for models. Prompt reading is its weak spot: a 4K-token prompt waits 11 s before the first word on Gemma 4 26B A4B IT. M5 generation, released 2026.

Speed in 24 GB#3154 GB/s
Prompt reading#316 TFLOPS
For models20.5 GBmacOS keeps 3.5 GB
ChipM5released 2026

MacBook Air 13" M5 strengths and weaknesses

Strengths

  • Runs 35B MoE models: Qwen3.6 35B A3B at 31.1 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 6.2 tok/s
  • Slow prompt reading: A 32K-token prompt on Gemma 4 26B A4B IT waits 1.5 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. The 32 GB config fits Qwen3.8 27B →

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 Qwen3.5 9B.

MacBook Air 13" M5 tokens per second by model size

Output speed depends on memory bandwidth (154 GB/s). Grey rows need more than the 20.5 GB available.

  1. 9BQwen3.5 9B · Q4_K_M · 6.6 GB
    16.9tok/s
  2. 14BQwen3 14B · Q4_K_M · 11.9 GB
    11.3tok/s
  3. 27–31BQwen3.8 27B · Q4_K_M · 17.9 GB slow
    6.2tok/s
  4. 35B MoEQwen3.6 35B A3B · IQ4_XS · 19.8 GB tight · IQ4_XS
    31.1tok/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×M12020M22022M32024M42025M52026M1 · 5.2 TFLOPS FP16M1 · 7.5 tok/s · 68.3 GB/sM2 · 7.2 TFLOPS FP16M2 · 11.0 tok/s · 100 GB/sM3 · 7 TFLOPS FP16M3 · 11.3 tok/s · 102.4 GB/sM4 · 8.6 TFLOPS FP16M4 · 13.2 tok/s · 120 GB/sM5 · 16 TFLOPS FP16M5 · 16.9 tok/s · 153.6 GB/sCompute 3.1×Writing +125%
1×2×3×4×M12020M22022M32024M42025M52026M1 · 5.2 TFLOPS FP16M1 · 7.5 tok/s · 68.3 GB/sM2 · 7.2 TFLOPS FP16M2 · 11.0 tok/s · 100 GB/sM3 · 7 TFLOPS FP16M3 · 11.3 tok/s · 102.4 GB/sM4 · 8.6 TFLOPS FP16M4 · 13.2 tok/s · 120 GB/sM5 · 16 TFLOPS FP16M5 · 16.9 tok/s · 153.6 GB/sCompute 3.1×Writing +125%

Writing speed follows memory bandwidth and barely moved: 7.5 to 16.9 tok/s since the M1. Compute, which sets how fast prompts are read, grew 3.1×. Indexed to the M1; speeds on Qwen3.5 9B, same 16 GB.

All 293 models on the MacBook Air 13" M5

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 Air 13" M5 (24 GB) — ranked by Score, recency and Fit
ModelVRAMScoreFit
Qwen3.8 27B
27.8B·Q4_K_M·6.2 t/s·262K ctx
17.9 GBC34, Usable
Gemma 4 26B A4B IT
25.8B·Q4_K_M·31.7 t/s·262K ctx
16.5 GBA71, Runs well
Qwen3.6 35B A3B
36.0B·IQ4_XS·31.1 t/s·262K ctx
19.8 GBB45, Decent
Qwen3.5 9B
9.7B·Q4_K_M·16.9 t/s·262K ctx
6.6 GBB56, Decent
31.6B·Q4_K_M·41.9 t/s·262K ctx
19.3 GBB55, Decent
GPT OSS 20B
20.9B·Q4_K_M·34.6 t/s·131K ctx
13.1 GBA73, Runs well
Qwen3.5 4B
4.7B·Q4_K_M·33.0 t/s·262K ctx
3.4 GBA72, Runs well
Muse Glimmer 30B
29.8B·Q4_K_M·5.9 t/s·131K ctx
19.6 GBD18, Barely runs
Gemma 4 31B IT
31.3B·IQ4_XS·5.8 t/s·262K ctx
19.8 GBD18, Barely runs
JEV 27B VL
27.8B·Q4_K_M·6.2 t/s·262K ctx
17.9 GBC34, Usable
GLM 4.7 Flash
31.2B·Q4_K_M·27.3 t/s·203K ctx
19.9 GBC42, Usable
Ling 3.0 Tiny
7.9B·Q4_K_M·74.1 t/s·131K ctx
5.5 GBS86, Runs great
MiniCPM5 2B
2.5B·Q4_K_M·56.6 t/s·131K ctx
2.5 GBA82, Runs well
LFM2.5 8B A1B
8.5B·Q4_K_M·66.9 t/s·128K ctx
5.6 GBS85, Runs great
Ornith 1.0 35B
35.1B·Q4_K_S·34.7 t/s·262K ctx
20.2 GBC43, Usable

MacBook Air 13" M5 specs

Specs

Chip
M5
CPU cores
10
GPU cores
10
Unified memory
24 GB
For models
20.5 GB (macOS keeps 3.5 GB)
Memory bandwidth
153.6 GB/s
FP16 (dense)
16 TFLOPS
Neural Engine
38 TOPS
Released
2026-03-11

MacBook Air 13" M5 FAQ

How much memory is available for AI on the MacBook Air 13" M5 (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 Air 13" M5 (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 31.1 tok/s.

Can the MacBook Air 13" M5 (24 GB) run Gemma 4 26B A4B IT?

Yes. Gemma 4 26B A4B IT fits at Q4_K_M, using 16.5 GB of the 20.5 GB available, and it is the best model that runs well on this machine.

Can the MacBook Air 13" M5 (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 Air 13" M5 (24 GB) take to read a long prompt?

On Gemma 4 26B A4B IT, about 11 s for a 4K-token prompt and 1.5 min for a 32K-token document before the first word appears.

Is renting a GPU cheaper than buying the MacBook Air 13" M5?

An RTX A5000 (24 GB) rents from $0.16/hr.