FitMyLLM
▸ APPLE· M3 PRO

Apple M3 Pro (36GB)

Running LLMs on the Apple M3 Pro (36GB) — the long read: which models fit at which quantisation, and the settings worth changing. · Or what else $1,999 buys

USABLE MEMORY
27 GB
HIGH-END
BANDWIDTH
150
GB/S
MODELS Q4
330/449
73%
7B Q4 SPEED
~19
GOOD
▸ MODEL COVERAGE @ Q473% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

Average speeds at Q4 quantization. Actual performance varies by model architecture and context length.

3B
~44
TOK/S
7B
~19
TOK/S
14B
~10
TOK/S
32B
~4
TOK/S
70B
—
39.4GB NEEDED
▸ MEASURED RIG REPORTS

We rent the machine and time every model on it: decode, VRAM peak, concurrency, watts and cost per million tokens. Yours may already be one of them — and two are free to read in full.

SEE THE REPORTS →
▸ SPECIFICATIONS
USABLE MEMORY
27 GB of 36
BANDWIDTH
150 GB/s
FP16 COMPUTE
14.2 TFLOPS
TDP
30W
MEMORY
LPDDR5
ARCHITECTURE
M3 Pro
MSRP
$1,999
124
FAST MODELS · >30 TOK/S
Real-time chat speed
263
USABLE · >10 TOK/S
Comfortable for all tasks
330
TOTAL COMPATIBLE
Fit in usable memory at Q4
▸ DON’T WANT TO BUY?

Test M3 Pro (36GB) (or anything bigger) without committing. Pay by the second, cancel anytime.

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▸ COMPATIBLE MODELS· 330
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
1481
TOK/S · 2% MEM
›
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
988
TOK/S · 2% MEM
›
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
952
TOK/S · 2% MEM
›
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
952
TOK/S · 2% MEM
›
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
521
TOK/S · 2% MEM
›
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
494
TOK/S · 2% MEM
›
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
437
TOK/S · 2% MEM
›
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
398
TOK/S · 3% MEM
›
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
398
TOK/S · 3% MEM
›
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
398
TOK/S · 3% MEM
›
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
381
TOK/S · 3% MEM
›
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
370
TOK/S · 3% MEM
›
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
351
TOK/S · 3% MEM
›
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
267
TOK/S · 3% MEM
›
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
267
TOK/S · 3% MEM
›
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
256
TOK/S · 3% MEM
›
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
235
TOK/S · 3% MEM
›
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
235
TOK/S · 3% MEM
›
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
222
TOK/S · 3% MEM
›
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
222
TOK/S · 3% MEM
›
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
222
TOK/S · 3% MEM
›
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
215
TOK/S · 3% MEM
›
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
180
TOK/S · 3% MEM
›
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
178
TOK/S · 4% MEM
›
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
165
TOK/S · 4% MEM
›
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
153
TOK/S · 4% MEM
›
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
142
TOK/S · 4% MEM
›
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
123
TOK/S · 4% MEM
›
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
121
TOK/S · 4% MEM
›
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
111
TOK/S · 5% MEM
›
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
111
TOK/S · 5% MEM
›
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
111
TOK/S · 5% MEM
›
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
111
TOK/S · 5% MEM
›
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
103
TOK/S · 5% MEM
›
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
103
TOK/S · 5% MEM
›
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
103
TOK/S · 5% MEM
›
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
99
TOK/S · 5% MEM
›
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
94
TOK/S · 5% MEM
›
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
94
TOK/S · 5% MEM
›
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
89
TOK/S · 21% MEM
›
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your Apple M3 Pro (36GB).

WHAT THIS CARD IS WORTH

M3 Pro (36GB) holds 330 of the models in our catalogue and is, in practice, a IQ4_XS card — the largest it takes is Seed-OSS 36B Instruct at IQ4_XS.

TOKENS/SEC PER $100
1.2
8B at Q4_K_M, so cards compare like for like
USABLE MEMORY PER $100
1.35 GB
what memory costs on this card
THE BIGGEST IT TAKES
Seed-OSS 36B Instruct36B · IQ4_XS23.5 GB5 tok/sEST
c4ai-command-r-v01 35B35B · Q4_K_S23.5 GB5 tok/sEST
Qwen 3.5 35B A3B35B · Q4_K_M24.0 GB59 tok/sEST
Qwen 3.6 35B A3B35B · Q4_K_M24.0 GB59 tok/sEST
Nous Capybara 34B34.4B · Q4_K_S23.4 GB5 tok/sEST
Yi-1.5 34B34.4B · Q4_K_S23.4 GB5 tok/sEST
Falcon-H1 34B34B · Q4_K_M23.8 GB5 tok/sEST
CodeLlama 34B34B · Q4_K_M24.0 GB5 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
M4 Max (48GB)36 GB$2,4992.2 tok/s per $100
M3 Max (48GB)36 GB$2,8991.6 tok/s per $100
M4 Pro (48GB)36 GB$1,7991.9 tok/s per $100
M3 Max (36GB)27 GB$2,4991.5 tok/s per $100
M3 Pro (36GB)27 GB$1,9991.2 tok/s per $100

Neighbours in memory rather than in price: memory decides whether a card can do the job at all, so two cards of the same size at different prices is the comparison you are making. Ordered by memory, then bandwidth — not by the value column, which is worked out from bandwidth and price alone and therefore rewards a cheap card whatever its software stack does to that bandwidth in practice. Read it as one input, not as a ranking.

▸ DEVICE UNDER TEST

Apple M3 Pro (36GB) — 36 GB unified, 27 GB usable.

▸ APPLE M3 PRO (36GB) SPEC
BRAND
Apple
UNIFIED MEMORY
36 GB
USABLE BY A MODEL
27 GB
BANDWIDTH
150 GB/s
FP16 COMPUTE
14.2 TFLOPS
FP32 COMPUTE
14.2 TFLOPS
TDP
30 W
ARCHITECTURE
M3 Pro
MSRP
$1999
▸ AI CAPABILITY
330/ 449 models @ Q4

With 27 GB of its 36 GB reaching a model and 150 GB/s bandwidth, this machine handles models up to 34.4B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~17 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR APPLE M3 PRO (36GB)
330 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Nous Capybara 34B34.4B21.5 GB442.0
Yi-1.5 34B34.4B21.5 GB445.3
Falcon-H1 34B34B21.3 GB466.1
CodeLlama 34B34B21.3 GB425.4
Nous Hermes 2 34B34B21.3 GB447.0
Phind CodeLlama 34B34B21.3 GB468.1
LLaVA-1.6 Yi 34B34B21.3 GB447.4
WizardCoder Python 34B34B21.3 GB473.2
Yi 34B34B21.3 GB433.4
Qwen3-VL 32B Instruct33.36B20.9 GB444.6
DeepSeek Coder 33B33B20.7 GB426.0
Vicuna 33B33B20.7 GB417.2
LLaMA 1 30B33B20.7 GB417.8
DeepSeek-R1-Distill-Qwen-32B32.8B20.5 GB446.9
Qwen3 32B32.8B20.5 GB454.9
Gemma 4 31B32.68B20.5 GB453.7
Qwen2.5-32B32.5B20.4 GB454.3
Qwen 2.5 Coder 32B32.5B20.4 GB448.0
QwQ-32B32.5B20.4 GB443.7
Granite Switch 4.1 30B Preview32.24B20.2 GB436.1