Run Llama 3.3 70B on M5 Max

Llama 3.3 70B runs at 13 tok/s (13.1 as recorded) on a 128 GB M5 Max, a published figure reported by tbreak.com (MLX, 4-bit). It needs about 44 GB of unified memory. It is Meta's 70B dense model, released under the Meta Custom licence.

Speed
sourced13
tok/s
First Token
—
seconds
RAM Needed
44
GB minimum
Engine
MLX
of this figure
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The figure

This is a published figure: a real run, reported by its source and linked below. The index records it as given and never adjusts it.

MetricValue
Tokens per secondsourced13 tok/s
Provenancepublished figure · tbreak.com
Quantization4-bit
EngineMLX
Figure dated2026-09-21
Minimum RAM44 GB
Parameters70B
Chip bandwidth614 GB/s

Every figure for Llama 3.3 70B on the M5 Max

Each row as the index holds it, with its source. “Mac RAM” is the memory of the Mac a run used, not the model’s requirement (44 GB). The headline figure follows the reference rule: the lower-median measured plain-decode run at 5 bits or fewer (a run whose quant was not stated counts only when no stated-quant run qualifies), else the estimate; a run marked “not used to anchor estimates” is listed here but never becomes the headline.

SpeedQuantEngineMac RAMContextSourceNote
sourced13.1 tok/s4-bitMLX128 GB—tbreak.comMac Studio, 40-core GPU. tbreak review: 4-bit MLX, 41.2 GB peak; MLX 0.32.2 / mlx-lm 0.31.3 per the section's setup.
Provenance key
sourced
Published figure — vendor or press review
estimated
community
Linked individual run — blog, forum or submission

Setup: run Llama 3.3 70B on a Mac

Ollama — install it (brew install ollama or the app from ollama.com), then pull the model by its tag, checked on ollama.com on 2026-10-17:

ollama run llama3.3:70b

MLX — pick a build from Hugging Face’s MLX listings, then run it with its repo id:

pip install -U mlx-lm
mlx_lm.generate --model <repo-id> --prompt "Hello"

Downloads: Search the Ollama library → · model card →

The 13 tok/s figure above came from MLX at 4-bit; other runtimes and quants run at different speeds.

Prefer a GUI? LM Studio downloads GGUF and MLX builds in one click. Step by step: install Ollama on a Mac.

Llama 3.3 70B on other Apple Silicon chips

ChipSpeedQuantEngineBandwidth
M5 Ultraestimated23 tok/sQ4_K_MMLX1228 GB/s
M3 Ultraestimated16 tok/sQ4_K_MOllama819 GB/s
M1 Ultraestimated15 tok/sQ4_K_MOllama800 GB/s
M2 Maxestimated8 tok/sQ4_K_MOllama400 GB/s

About Llama 3.3 70B

Meta's dense 70B (Meta Custom license, 128K context). Needs a 48 GB+ Mac at 4-bit; tbreak's Mac Studio review measured 13.1 tok/s on an M5 Max (4-bit MLX, 41.2 GB peak).

Meta Custom licence · 70B · 128K context · LLMCheck capability 27/50 · see its leaderboard rank →

System requirements

Macs with the M5 Max

🛒 Get a Mac that runs Llama 3.3 70B

Llama 3.3 70B needs about 44 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:

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