Canonical Rankings

Best Macs for this model

Qwen3.5-122B-A10B ranked across the Mac lineup at the best practical quantization, using the best available runtime evidence. Model picker is focused on current-market choices.

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29 ranked MacsUse the strongest current runtime evidence for each row.28 historical models hiddenBaselinesStatic paths cover only canonical model pages; sort and quantization stay as query state.

Rank	Mac	Score	Quant	Tok/s	Runtime	Fits	Headroom	Context	Evidence	Price	Why it ranks here
1	Mac Studio M3 Ultra 256GB	387	8bit	43.0 tok/s Fastest evidence path: 3bit · 57.0 tok/s · MLX · Estimated	MLX	Fits	141.1 GB	262k	Community row	$7,499	8bit is the current best practical quantization. 43.0 tok/s is backed by direct benchmark coverage. 141.1 GB headroom remains at this quantization.
2	Mac Pro M2 Ultra 192GB	371	8bit	57.0 tok/s Fastest evidence path: 8bit · 57.0 tok/s · MLX · Estimated	MLX	Fits	77.1 GB	262k	Estimated	$6,999	8bit is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 77.1 GB headroom remains at this quantization.
3	MacBook Pro M5 Max 128GB 16-inch	336	Q6_K	60.6 tok/s Fastest evidence path: Q6_K · 60.6 tok/s · MLX · Estimated	MLX	Fits	33.6 GB	165k	Estimated	$5,399	Q6_K is the current best practical quantization. 60.6 tok/s is estimated from nearby benchmark coverage. 33.6 GB headroom remains at this quantization.
4	Mac Studio M4 Max 128GB	322	Q6_K	57.0 tok/s Fastest evidence path: Q6_K · 57.0 tok/s · MLX · Estimated	MLX	Fits	33.6 GB	165k	Estimated	$4,499	Q6_K is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 33.6 GB headroom remains at this quantization.
5	MacBook Pro M4 Max 128GB 16-inch	322	Q6_K	57.0 tok/s Fastest evidence path: Q6_K · 57.0 tok/s · MLX · Estimated	MLX	Fits	33.6 GB	165k	Estimated	$5,999	Q6_K is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 33.6 GB headroom remains at this quantization.
6	Mac Studio M3 Ultra 96GB	306	5bit	57.0 tok/s Fastest evidence path: 5bit · 57.0 tok/s · MLX · Estimated	MLX	Fits	23.7 GB	110k	Estimated	$3,999	5bit is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 23.7 GB headroom remains at this quantization.
7	Mac Studio M4 Max 64GB	263	Q3_K_L	57.0 tok/s Fastest evidence path: Q3_K_L · 57.0 tok/s · MLX · Estimated	MLX	Fits	11.2 GB	26k	Estimated	$2,999	Q3_K_L is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 11.2 GB headroom remains at this quantization.
8	MacBook Pro M4 Max 64GB 16-inch	263	Q3_K_L	57.0 tok/s Fastest evidence path: Q3_K_L · 57.0 tok/s · MLX · Estimated	MLX	Fits	11.2 GB	26k	Estimated	$4,499	Q3_K_L is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 11.2 GB headroom remains at this quantization.
9	Mac Mini M4 Pro 48GB	260	mlx-dynamic-2.7bpw	57.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 57.0 tok/s · MLX · Estimated	MLX	Fits	8.4 GB	21k	Estimated	$1,599	mlx-dynamic-2.7bpw is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 8.4 GB headroom remains at this quantization.
10	MacBook Pro M4 Pro 48GB 14-inch	260	mlx-dynamic-2.7bpw	57.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 57.0 tok/s · MLX · Estimated	MLX	Fits	8.4 GB	21k	Estimated	$2,499	mlx-dynamic-2.7bpw is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 8.4 GB headroom remains at this quantization.
11	Mac Studio M4 Max 48GB	260	mlx-dynamic-2.7bpw	57.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 57.0 tok/s · MLX · Estimated	MLX	Fits	8.4 GB	21k	Estimated	$2,499	mlx-dynamic-2.7bpw is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 8.4 GB headroom remains at this quantization.
12	MacBook Pro M4 Pro 48GB 16-inch	260	mlx-dynamic-2.7bpw	57.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 57.0 tok/s · MLX · Estimated	MLX	Fits	8.4 GB	21k	Estimated	$2,999	mlx-dynamic-2.7bpw is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 8.4 GB headroom remains at this quantization.
13	MacBook Pro M4 Max 48GB 14-inch	260	mlx-dynamic-2.7bpw	57.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 57.0 tok/s · MLX · Estimated	MLX	Fits	8.4 GB	21k	Estimated	$3,499	mlx-dynamic-2.7bpw is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 8.4 GB headroom remains at this quantization.
14	MacBook Pro M4 Max 48GB 16-inch	260	mlx-dynamic-2.7bpw	57.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 57.0 tok/s · MLX · Estimated	MLX	Fits	8.4 GB	21k	Estimated	$3,999	mlx-dynamic-2.7bpw is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 8.4 GB headroom remains at this quantization.
15	Mac Studio M4 Max 36GB	258	IQ2_XS	57.0 tok/s Fastest evidence path: IQ2_XS · 57.0 tok/s · MLX · Estimated	MLX	Fits	6.3 GB	19k	Estimated	$1,999	IQ2_XS is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 6.3 GB headroom remains at this quantization.
16	MacBook Pro M4 Max 36GB 14-inch	258	IQ2_XS	57.0 tok/s Fastest evidence path: IQ2_XS · 57.0 tok/s · MLX · Estimated	MLX	Fits	6.3 GB	19k	Estimated	$2,999	IQ2_XS is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 6.3 GB headroom remains at this quantization.
17	MacBook Pro M4 Max 36GB 16-inch	258	IQ2_XS	57.0 tok/s Fastest evidence path: IQ2_XS · 57.0 tok/s · MLX · Estimated	MLX	Fits	6.3 GB	19k	Estimated	$3,499	IQ2_XS is the current best practical quantization. 57.0 tok/s is estimated from nearby benchmark coverage. 6.3 GB headroom remains at this quantization.
18	Mac Mini M4 16GB	0	F32	—	MLX	No	-439.7 GB	—	Estimated	$499	Qwen3.5-122B-A10B does not fit on Mac Mini M4 16GB at the current practical quantization.
19	Mac Mini M4 24GB	0	F32	—	MLX	No	-431.7 GB	—	Estimated	$599	Qwen3.5-122B-A10B does not fit on Mac Mini M4 24GB at the current practical quantization.
20	Mac Mini M4 32GB	0	F32	—	MLX	No	-423.7 GB	—	Estimated	$799	Qwen3.5-122B-A10B does not fit on Mac Mini M4 32GB at the current practical quantization.
21	MacBook Air M4 16GB 13-inch	0	F32	—	MLX	No	-439.7 GB	—	Estimated	$1,099	Qwen3.5-122B-A10B does not fit on MacBook Air M4 16GB 13-inch at the current practical quantization.
22	MacBook Air M4 24GB 13-inch	0	F32	—	MLX	No	-431.7 GB	—	Estimated	$1,299	Qwen3.5-122B-A10B does not fit on MacBook Air M4 24GB 13-inch at the current practical quantization.
23	MacBook Air M4 16GB 15-inch	0	F32	—	MLX	No	-439.7 GB	—	Estimated	$1,299	Qwen3.5-122B-A10B does not fit on MacBook Air M4 16GB 15-inch at the current practical quantization.
24	Mac Mini M4 Pro 24GB	0	F32	—	MLX	No	-431.7 GB	—	Estimated	$1,399	Qwen3.5-122B-A10B does not fit on Mac Mini M4 Pro 24GB at the current practical quantization.
25	MacBook Air M4 32GB 13-inch	0	F32	—	MLX	No	-423.7 GB	—	Estimated	$1,499	Qwen3.5-122B-A10B does not fit on MacBook Air M4 32GB 13-inch at the current practical quantization.
26	MacBook Air M4 24GB 15-inch	0	F32	—	MLX	No	-431.7 GB	—	Estimated	$1,499	Qwen3.5-122B-A10B does not fit on MacBook Air M4 24GB 15-inch at the current practical quantization.
27	MacBook Air M4 32GB 15-inch	0	F32	—	MLX	No	-423.7 GB	—	Estimated	$1,699	Qwen3.5-122B-A10B does not fit on MacBook Air M4 32GB 15-inch at the current practical quantization.
28	MacBook Pro M4 Pro 24GB 14-inch	0	F32	—	MLX	No	-431.7 GB	—	Estimated	$1,999	Qwen3.5-122B-A10B does not fit on MacBook Pro M4 Pro 24GB 14-inch at the current practical quantization.
29	MacBook Pro M4 Pro 24GB 16-inch	0	F32	—	MLX	No	-431.7 GB	—	Estimated	$2,499	Qwen3.5-122B-A10B does not fit on MacBook Pro M4 Pro 24GB 16-inch at the current practical quantization.

Qwen3.5-122B-A10B — ranking first, raw rows below

Start with the ranked Mac table above. Use the rest of this page to inspect raw Apple Silicon coverage and model metadata.

Quantizations observed: 4bit, MXFP4, 8bit, IQ1_M

6Benchmark rows

3Chip tiers covered

65.8Fastest avg tok/s (M5 Max (128 GB))

40.8 GBMinimum RAM observed

Quick take

Fastest published result is 65.9 tok/s on M5 Max (128 GB) at 4bit. Smallest published fit is 40.8 GB on M5 Pro (64 GB). Longest published context on this page is 33k. Published runtimes include llama.cpp, MLX. Start with Rankings for the decision, then use the raw rows below to audit the evidence.

Based on 6 external benchmarks; no lab runs yet.

Published runtimes: llama.cpp, MLX.

Need the best Mac for this model? Use Buy Need a setup-first answer? Use Run Checking whether it fits? Use Fit Browse Macs by exact hardware Need the full audit trail? Use Bench Comparing against rented GPUs? Use AI Datacenter Index

Catalog record

122BTotal params

10BActive params

262,144Context window

2026-02-24Release date

What this model is, and what Apple Silicon users are actually seeing

Official model cards tell you what the model is for and which software stacks it targets. Field reality below shows how much Apple Silicon evidence we have so far.

Official brief

Unified Vision-Language Foundation: Early fusion training on multimodal tokens achieves cross-generational parity with Qwen3 and outperforms Qwen3-VL models across reasoning, coding, agents, and visual understanding benchmarks.

Official source · Raw model card

agentscodingreasoningvisual-understanding

Runtime support mentioned

vLLMSGLangTransformersKTransformers

Official specs

Type: Causal Language Model with Vision Encoder.
Scale: 122B in total and 10B activated.
Context: 262,144 natively and extensible up to 1,010,000 tokens.
Total parameters: 122B in total and 10B activated.
Max input: 262,144 natively and extensible up to 1,010,000 tokens.

Official takeaways

Unified Vision-Language Foundation: Early fusion training on multimodal tokens achieves cross-generational parity with Qwen3 and outperforms Qwen3-VL models across reasoning, coding, agents, and visual understanding ben…
Efficient Hybrid Architecture: Gated Delta Networks combined with sparse Mixture-of-Experts deliver high-throughput inference with minimal latency and cost overhead.
Scalable RL Generalization: Reinforcement learning scaled across million-agent environments with progressively complex task distributions for robust real-world adaptability.
Global Linguistic Coverage: Expanded support to 201 languages and dialects, enabling inclusive, worldwide deployment with nuanced cultural and regional understanding.

Official model cards describe intent, capabilities, and supported stacks. They do not prove Apple Silicon speed by themselves.

Field reality on Apple Silicon

Qwen3.5-122B-A10B: 24 Apple Silicon field reports; best reported generation ~65.853 tok/s; best reported prompt processing ~1239.734 tok/s; reported RAM use ~71.91-102GB; seen on MacBook Pro M5 MAX 128GB, Mac Studio M3 ULTRA 256GB, Mac Studio M4 MAX 128GB; via MLX, oMLX, EXO over Thunderbolt 5 RDMA, llama.cpp.

6Benchmark rows

24Field reports

16Practitioner signals

Sparse BenchmarksEvidence status

What practitioners keep saying

The oMLX context table reports Qwen3.5-122B-A10B-Text-qx64-hi 6bit on an M3 Max 40-core 128GB Mac at 1024 tokens context with 432.5 tok/s prompt processing, 39.5 tok/s generation, and peak memory at 86.6GB.
The oMLX context table reports Qwen3.5-122B-A10B-Text-qx64-hi 6bit on an M3 Max 40-core 128GB Mac at 4096 tokens context with 497.1 tok/s prompt processing, 38.2 tok/s generation, 8.240s TTFT, and peak memory at 87.9GB.
The oMLX context table reports Qwen3.5-122B-A10B-Text-qx64-hi 6bit on an M3 Max 40-core 128GB Mac at 8192 tokens context with 487.2 tok/s prompt processing, 35.6 tok/s generation, and peak memory at 88.7GB.

Apple Silicon field sources

oMLX community benchmarks
2026-05-05 · M3 Max 40-core GPU, 128GB unified memory · oMLX
Fresh oMLX rows show the Qwen3.5-122B-A10B-Text-qx64-hi 6-bit variant on M3 Max 128GB holding interactive generation from 1k through 16k context.
oMLX community benchmarks
2026-05-05 · M3 Max 40-core GPU, 128GB unified memory · oMLX
Fresh oMLX rows show Qwen3.5-122B-A10B-Text-qx85 running on an M3 Max 40-core 128GB system across 1k to 16k context with high prompt throughput and interactive generation.
r/LocalLLaMA
2026-04-14 · M4 Max (memory tier ambiguous in source) · llama.cpp and oMLX
A newer M4 Max operator thread reports Qwen3.5-122B-A10B-MXFP4_MOE running through llama.cpp around 10 tok/s, slowing at long context, while comments point toward MLX/oMLX quant choices and KV-cache settings as likely decision-critical.
r/LocalLLaMA
2026-03-28 · MacBook Pro M3 Max 128GB, MacBook Pro M5 Max 128GB · oMLX
The same oMLX comparison reports Qwen3.5-122B-A10B at 46.1 tg tok/s on a MacBook Pro M3 Max 128GB at pp1024/tg128.
SharpAI HomeSec-Bench
2026-03-26 · MacBook Pro M5 Pro 64GB · llama.cpp
The M5 Pro 64GB HomeSec-Bench run shows Qwen3.5-122B-A10B already crossing into plausible Apple Silicon frontier use without requiring a Max-class machine.

8 more Apple Silicon field sources tracked in the research queue.

Runtime mentions in the field

Continuellama.cppLM StudioMLXoMLXOpenClaw

Hardware mentioned in reports

64GB96GB128GBM3 UltraM4MacMac StudioMacBook

What would improve confidence

Reproduce Field Performance Signal
Resolve Blocked Source Capture
Upgrade To First Party Measurement

Current published coverage

Published chip coverage includes M5 Max (128 GB), M3 Ultra (256 GB), M5 Pro (64 GB). Fastest published row is 65.9 tok/s on M5 Max (128 GB) at 4bit. Lowest published RAM requirement is 40.8 GB on M5 Pro (64 GB). Catalog context window is 33k.

M5 Max (128 GB)M3 Ultra (256 GB)M5 Pro (64 GB)

Related Qwen3.5-122B-A10B models with published pages: Qwen3.5-27B · Qwen3.5-35B-A3B · Qwen3.5-9B · Qwen3.5-397B-A17B · Qwen3.5-4B

Standardized eval scorecards for Qwen3.5-122B-A10B

These are fixed-machine model scorecards from a single Apple Silicon setup. They help explain whether a model is merely fast or actually good at tools, coding, reasoning, and general tasks. They do not replace the main Mac ranking above.

mxfp4 · vLLM-MLX

Mac Studio M3 Ultra 256GB · Avg 88%

90%Tools

90%Coding

80%Reasoning

90%General

Speed and memory

Long decode: 57.0 tok/s
Short decode: 26.3 tok/s
Cold TTFT: 0.714 s
Active RAM: 65.0 GB

The best value version in this scorecard: near-frontier quality at roughly half the RAM.

vLLM-MLX SCORECARD.md · discussion · 2026-03-04

8bit · vLLM-MLX

Mac Studio M3 Ultra 256GB · Avg 89%

87%Tools

90%Coding

90%Reasoning

90%General

Speed and memory

Long decode: 42.7 tok/s
Short decode: 19.4 tok/s
Cold TTFT: 1.300 s
Active RAM: 129.8 GB

Highest overall quality in this standardized set, but it demands real memory.

vLLM-MLX SCORECARD.md · discussion · 2026-03-04

Raw benchmark rows for Qwen3.5-122B-A10B

Rows stay below the ranking because this page is answer-first. Use them to inspect exact chips, quantizations, runtimes, and sources.

Chip	Quant	RAM req.	Context	Avg tok/s	Prompt tok/s	Runtime	Source
M5 Max (128 GB)	4bit	71.9 GB	4k	65.9 tok/s	881.5 tok/s	MLX	ref
M5 Max (128 GB)	4bit	73.8 GB	16k	60.6 tok/s	1239.7 tok/s	MLX	ref
M3 Ultra (256 GB)	MXFP4	65.0 GB	—	57.0 tok/s	—	MLX	ref
M5 Max (128 GB)	4bit	76.4 GB	33k	54.9 tok/s	1067.8 tok/s	MLX	ref
M3 Ultra (256 GB)	8bit	129.8 GB	—	43.0 tok/s	—	MLX	ref
M5 Pro (64 GB)	IQ1_M	40.8 GB	—	18.0 tok/s	—	llama.cpp	ref

Best Macs for Qwen3.5-122B-A10B

Ordered by fastest published tok/s on the chip family in each Mac. Click through for the full machine page.

MacBook Pro M5 Max 128GB 16-inch — 65.9 tok/s Mac Studio M3 Ultra 96GB — 57.0 tok/s Mac Studio M3 Ultra 256GB — 57.0 tok/s

Chips with published results for Qwen3.5-122B-A10B

M5 Max (128 GB)M3 Ultra (256 GB)M5 Pro (64 GB)

Data

benchmarks.json — full dataset · models.json — model summaries · benchmarks.csv — CSV export

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