FitMyLLM
▸ APPLE· M4 MAX

Apple M4 Max (48GB)

Running LLMs on the Apple M4 Max (48GB) — the long read: which models fit at which quantisation, and the settings worth changing. · Or what else $2,499 buys

USABLE MEMORY
36 GB
HIGH-END
BANDWIDTH
546
GB/S
MODELS Q4
342/449
76%
7B Q4 SPEED
~69
BLAZING
▸ MODEL COVERAGE @ Q476% OF ALL
▸ ESTIMATED SPEED· BY MODEL SIZE @ Q4

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

3B
~162
TOK/S
7B
~69
TOK/S
14B
~35
TOK/S
32B
~15
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
36 GB of 48
BANDWIDTH
546 GB/s
FP16 COMPUTE
18.4 TFLOPS
TDP
60W
MEMORY
Unified
ARCHITECTURE
M4 Max
MSRP
$2,499
282
FAST MODELS · >30 TOK/S
Real-time chat speed
342
USABLE · >10 TOK/S
Comfortable for all tasks
342
TOTAL COMPATIBLE
Fit in usable memory at Q4
▸ DON’T WANT TO BUY?

Test M4 Max (48GB) (or anything bigger) without committing. Pay by the second, cancel anytime.

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▸ COMPATIBLE MODELS· 342
S
Falcon-H1R Tiny 90M0.09B
FALCON·256K CTX· CHAT· REASONING
5393
TOK/S · 2% MEM
›
S
SmolLM2 135M0.135B
SMOLLM·2K CTX· CHAT
3595
TOK/S · 2% MEM
›
S
nomic-embed-text-v1.5 100M0.14B
EMBEDDING·8K CTX· CHAT
3467
TOK/S · 2% MEM
›
S
GPT-2 124M0.14B
GPT2·1K CTX· CHAT
3467
TOK/S · 2% MEM
›
S
SmolVLM 256M0.256B
SMOLLM·8K CTX· CHAT· VISION
1896
TOK/S · 2% MEM
›
S
Gemma 3 270M0.27B
GEMMA·32K CTX· CHAT
1798
TOK/S · 2% MEM
›
S
Snowflake Arctic Embed M v2.00.305B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
1591
TOK/S · 2% MEM
›
S
bge-large-en-v1.5 335M0.335B
EMBEDDING·1K CTX· CHAT
1449
TOK/S · 2% MEM
›
S
mxbai-embed-large-v10.335B
EMBEDDING·1K CTX· EMBEDDING
1449
TOK/S · 2% MEM
›
S
Snowflake Arctic Embed L0.335B
EMBEDDING·1K CTX· EMBEDDING
1449
TOK/S · 2% MEM
›
S
LFM2 350M0.35B
LFM·125K CTX· CHAT· TOOL_USE
1387
TOK/S · 2% MEM
›
S
SmolLM2 360M0.36B
SMOLLM·8K CTX· CHAT
1348
TOK/S · 2% MEM
›
S
GPT-2 Medium 345M0.38B
GPT2·1K CTX· CHAT
1277
TOK/S · 2% MEM
›
S
Qwen 2.5 0.5B0.5B
QWEN·32K CTX· CHAT
971
TOK/S · 2% MEM
›
S
SmolVLM 500M0.5B
SMOLLM·8K CTX· CHAT· VISION
971
TOK/S · 2% MEM
›
S
Falcon-H1 0.5B0.52B
FALCON·128K CTX· CHAT
933
TOK/S · 2% MEM
›
S
BGE-M30.568B
EMBEDDING·8K CTX· EMBEDDING
854
TOK/S · 2% MEM
›
S
Snowflake Arctic Embed L v2.00.568B
EMBEDDING·8K CTX· EMBEDDING· MULTILINGUAL
854
TOK/S · 2% MEM
›
S
Qwen3-Embedding 0.6B0.6B
EMBEDDING·32K CTX· EMBEDDING· MULTILINGUAL
809
TOK/S · 2% MEM
›
S
Falcon-H1R Tiny 0.6B0.6B
FALCON·32K CTX· CHAT· REASONING
809
TOK/S · 2% MEM
›
S
Falcon Perception 0.6B0.6B
FALCON·4K CTX· VISION
809
TOK/S · 2% MEM
›
S
Qwen 1.5 0.5B0.62B
QWEN·32K CTX· CHAT
783
TOK/S · 2% MEM
›
S
LFM2 700M0.74B
LFM·125K CTX· CHAT· TOOL_USE
656
TOK/S · 3% MEM
›
S
Qwen3 0.6B0.75B
QWEN·32K CTX· CHAT· REASONING
647
TOK/S · 3% MEM
›
S
GPT-2 Large 774M0.81B
GPT2·1K CTX· CHAT
599
TOK/S · 3% MEM
›
S
Qwen 3.5 0.8B0.87B
QWEN·256K CTX· CHAT· CODING· MULTILINGUAL
558
TOK/S · 3% MEM
›
S
InternVL3 1B0.94B
OTHER·32K CTX· CHAT· VISION
516
TOK/S · 3% MEM
›
S
MiniCPM5 1B1.08B
MINICPM·128K CTX· CHAT· REASONING· MULTILINGUAL
449
TOK/S · 3% MEM
›
S
TinyLlama 1.1B1.1B
LLAMA·2K CTX· CHAT
441
TOK/S · 3% MEM
›
S
LFM2.5-1.2B-Thinking1.2B
LFM·122K CTX· CHAT· REASONING· TOOL_USE
404
TOK/S · 3% MEM
›
S
Llama-3.2-1B1.2B
LLAMA·4K CTX· CHAT
404
TOK/S · 3% MEM
›
S
LFM2 1.2B1.2B
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
404
TOK/S · 3% MEM
›
S
Zamba2 1.2B1.2B
OTHER·4K CTX· CHAT
404
TOK/S · 3% MEM
›
S
EXAONE-4.0-1.2B1.3B
EXAONE·64K CTX· CHAT
373
TOK/S · 4% MEM
›
S
OPT 1.3B1.3B
OPT·2K CTX· CHAT
373
TOK/S · 4% MEM
›
S
MiniCPM-V 4.61.3B
OTHER·256K CTX· CHAT· VISION
373
TOK/S · 4% MEM
›
S
DeepSeek Coder 1.3B1.35B
DEEPSEEK·16K CTX· CODING
360
TOK/S · 4% MEM
›
S
Phi-1 1.3B1.42B
PHI·2K CTX· CODING
342
TOK/S · 4% MEM
›
S
Phi-1.5 1.3B1.42B
PHI·2K CTX· CHAT· CODING
342
TOK/S · 4% MEM
›
S
LFM2 8B A1B8.3BMoE
LFM·125K CTX· CHAT· TOOL_USE· MULTILINGUAL
324
TOK/S · 15% MEM
›
▸ NEXT STEP

Get personalized recommendations.

See ranked models with benchmark scores, run commands, and precise speed estimates for your Apple M4 Max (48GB).

WHAT THIS CARD IS WORTH

M4 Max (48GB) holds 342 of the models in our catalogue and is, in practice, a IQ4_XS card — the largest it takes is Jamba 2 Mini at IQ4_XS.

TOKENS/SEC PER $100
2.2
8B at Q4_K_M, so cards compare like for like
USABLE MEMORY PER $100
1.44 GB
what memory costs on this card
THE BIGGEST IT TAKES
Jamba 2 Mini52B · IQ4_XS32.0 GB37 tok/sEST
Jamba 1.5 Mini 52B51.6B · IQ4_XS31.8 GB37 tok/sEST
Kimi-Linear-48B-A3B48B · Q4_K_M32.0 GB135 tok/sEST
Nemotron-H 47B47B · Q4_K_S31.5 GB9 tok/sEST
Mixtral-8x7B46.7B · Q4_K_M31.5 GB31 tok/sEST
Nous-Hermes-2-Mixtral-8x7B-DPO46.7B · Q4_K_M31.5 GB31 tok/sEST
Dolphin 2.6 Mixtral 8x7B46.7B · Q4_K_M31.5 GB31 tok/sEST
Phi-3.5 MoE 42B41.9B · Q5_K_S32.2 GB54 tok/sEST
AGAINST CARDS OF SIMILAR MEMORY
M1 Ultra (64GB)48 GB$2,4992.9 tok/s per $100
M2 Ultra (64GB)48 GB$2,9992.4 tok/s per $100
M4 Max (64GB)48 GB$2,8991.9 tok/s per $100
M2 Max (64GB)48 GB$2,2992.0 tok/s per $100
M4 Max (48GB)36 GB$2,4992.2 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 M4 Max (48GB) — 48 GB unified, 36 GB usable.

▸ APPLE M4 MAX (48GB) SPEC
BRAND
Apple
UNIFIED MEMORY
48 GB
USABLE BY A MODEL
36 GB
BANDWIDTH
546 GB/s
FP16 COMPUTE
18.4 TFLOPS
FP32 COMPUTE
18.4 TFLOPS
TDP
60 W
ARCHITECTURE
M4 Max
MSRP
$2499
▸ AI CAPABILITY
342/ 449 models @ Q4

With 36 GB of its 48 GB reaching a model and 546 GB/s bandwidth, this machine handles models up to 48B parameters.

Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~62 tok/s.

RENT IT — LIVE PRICES
Checking what the clouds are charging…
§ 01TOP MODELS FOR APPLE M4 MAX (48GB)
342 FIT · SHOWING 20
MODELSIZEVRAM Q4TOK/SAVG
Kimi-Linear-48B-A3B48B29.8 GB16226.6
Nemotron-H 47B47B29.2 GB1084.6
Mixtral-8x7B46.7B29.0 GB3718.8
Nous-Hermes-2-Mixtral-8x7B-DPO46.7B29.0 GB3727.4
Dolphin 2.6 Mixtral 8x7B46.7B29.0 GB3723.8
Phi-3.5 MoE 42B41.9B26.1 GB7456.7
Falcon 40B40B24.9 GB1220.9
InternVL3 38B38B23.7 GB1378.9
Seed-OSS 36B Instruct36B22.5 GB1354.4
c4ai-command-r-v01 35B35B21.9 GB1427.5
Qwen 3.5 35B A3B35B21.9 GB16253.3
Qwen 3.6 35B A3B35B21.9 GB16253.9
Nous Capybara 34B34.4B21.5 GB1442.0
Yi-1.5 34B34.4B21.5 GB1445.3
Falcon-H1 34B34B21.3 GB1466.1
CodeLlama 34B34B21.3 GB1425.4
Nous Hermes 2 34B34B21.3 GB1447.0
Phind CodeLlama 34B34B21.3 GB1468.1
LLaVA-1.6 Yi 34B34B21.3 GB1447.4
WizardCoder Python 34B34B21.3 GB1473.2