FitMyLLM
APPLE· M3 MAX

Apple M3 Max (36GB)

Running LLMs on the Apple M3 Max (36GB) — the long read: which models fit at which quantisation, and the settings worth changing. · Or what else $2,499 buys

USABLE MEMORY
27 GB
HIGH-END
BANDWIDTH
300
GB/S
MODELS Q4
330/449
73%
7B Q4 SPEED
~38
FAST
▸ 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
~89
TOK/S
7B
~38
TOK/S
14B
~19
TOK/S
32B
~8
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
300 GB/s
FP16 COMPUTE
16.4 TFLOPS
TDP
60W
MEMORY
Unified
ARCHITECTURE
M3 Max
MSRP
$2,499
230
FAST MODELS · >30 TOK/S
Real-time chat speed
294
USABLE · >10 TOK/S
Comfortable for all tasks
330
TOTAL COMPATIBLE
Fit in usable memory at Q4
▸ DON’T WANT TO BUY?

Test M3 Max (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
2963
TOK/S · 2% MEM
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
1975
TOK/S · 2% MEM
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
1905
TOK/S · 2% MEM
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
1905
TOK/S · 2% MEM
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
1042
TOK/S · 2% MEM
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
988
TOK/S · 2% MEM
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
874
TOK/S · 2% MEM
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
796
TOK/S · 3% MEM
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
796
TOK/S · 3% MEM
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
796
TOK/S · 3% MEM
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
762
TOK/S · 3% MEM
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
741
TOK/S · 3% MEM
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
702
TOK/S · 3% MEM
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
533
TOK/S · 3% MEM
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
533
TOK/S · 3% MEM
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
513
TOK/S · 3% MEM
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
469
TOK/S · 3% MEM
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
469
TOK/S · 3% MEM
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
444
TOK/S · 3% MEM
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
444
TOK/S · 3% MEM
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
444
TOK/S · 3% MEM
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
430
TOK/S · 3% MEM
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
360
TOK/S · 3% MEM
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
356
TOK/S · 4% MEM
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
329
TOK/S · 4% MEM
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
307
TOK/S · 4% MEM
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
284
TOK/S · 4% MEM
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
247
TOK/S · 4% MEM
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
242
TOK/S · 4% MEM
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
222
TOK/S · 5% MEM
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
222
TOK/S · 5% MEM
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
222
TOK/S · 5% MEM
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
222
TOK/S · 5% MEM
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
205
TOK/S · 5% MEM
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
205
TOK/S · 5% MEM
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
205
TOK/S · 5% MEM
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
198
TOK/S · 5% MEM
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
188
TOK/S · 5% MEM
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
188
TOK/S · 5% MEM
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
178
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 Max (36GB).

WHAT THIS CARD IS WORTH

M3 Max (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
1.5
8B at Q4_K_M, so cards compare like for like
USABLE MEMORY PER $100
1.08 GB
what memory costs on this card
THE BIGGEST IT TAKES
Seed-OSS 36B Instruct36B · IQ4_XS23.5 GB8 tok/sEST
c4ai-command-r-v01 35B35B · Q4_K_S23.5 GB8 tok/sEST
Qwen 3.5 35B A3B35B · Q4_K_M24.0 GB91 tok/sEST
Qwen 3.6 35B A3B35B · Q4_K_M24.0 GB91 tok/sEST
Nous Capybara 34B34.4B · Q4_K_S23.4 GB8 tok/sEST
Yi-1.5 34B34.4B · Q4_K_S23.4 GB8 tok/sEST
Falcon-H1 34B34B · Q4_K_M23.8 GB8 tok/sEST
CodeLlama 34B34B · Q4_K_M24.0 GB8 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 Max (36GB) — 36 GB unified, 27 GB usable.

APPLE M3 MAX (36GB) SPEC
BRAND
Apple
UNIFIED MEMORY
36 GB
USABLE BY A MODEL
27 GB
BANDWIDTH
300 GB/s
FP16 COMPUTE
16.4 TFLOPS
FP32 COMPUTE
16.4 TFLOPS
TDP
60 W
ARCHITECTURE
M3 Max
MSRP
$2499
▸ AI CAPABILITY
330/ 449 models @ Q4

With 27 GB of its 36 GB reaching a model and 300 GB/s bandwidth, this machine handles models up to 34.4B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~34 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR APPLE M3 MAX (36GB)
330 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Nous Capybara 34B34.4B21.5 GB842.0
Yi-1.5 34B34.4B21.5 GB845.3
Falcon-H1 34B34B21.3 GB866.1
CodeLlama 34B34B21.3 GB825.4
Nous Hermes 2 34B34B21.3 GB847.0
Phind CodeLlama 34B34B21.3 GB868.1
LLaVA-1.6 Yi 34B34B21.3 GB847.4
WizardCoder Python 34B34B21.3 GB873.2
Yi 34B34B21.3 GB833.4
Qwen3-VL 32B Instruct33.36B20.9 GB844.6
DeepSeek Coder 33B33B20.7 GB826.0
Vicuna 33B33B20.7 GB817.2
LLaMA 1 30B33B20.7 GB817.8
DeepSeek-R1-Distill-Qwen-32B32.8B20.5 GB846.9
Qwen3 32B32.8B20.5 GB854.9
Gemma 4 31B32.68B20.5 GB853.7
Qwen2.5-32B32.5B20.4 GB854.3
Qwen 2.5 Coder 32B32.5B20.4 GB848.0
QwQ-32B32.5B20.4 GB843.7
Granite Switch 4.1 30B Preview32.24B20.2 GB836.1