Canonical Rankings

Best Macs for this model

Qwen3-Coder-30B-A3B ranked across the Mac lineup at the best practical quantization, using the best available runtime evidence.

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

Rank	Mac	Score	Quant	Tok/s	Runtime	Fits	Evidence	Price	Why it ranks here
1	Mac Studio M3 Ultra 256GB	527	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$7,499	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 226.7 GB headroom remains at this quantization.
2	Mac Pro M2 Ultra 192GB	463	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$6,999	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 162.7 GB headroom remains at this quantization.
3	Mac Studio M4 Max 128GB	399	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$4,499	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 98.7 GB headroom remains at this quantization.
4	MacBook Pro M4 Max 128GB 16-inch	399	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$5,999	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 98.7 GB headroom remains at this quantization.
5	Mac Studio M3 Ultra 96GB	367	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$3,999	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 66.7 GB headroom remains at this quantization.
6	Mac Studio M4 Max 64GB	335	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$2,999	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 34.7 GB headroom remains at this quantization.
7	MacBook Pro M4 Max 64GB 16-inch	335	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$4,499	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 34.7 GB headroom remains at this quantization.
8	Mac Mini M4 Pro 48GB	319	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$1,599	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 18.7 GB headroom remains at this quantization.
9	MacBook Pro M4 Pro 48GB 14-inch	319	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$2,499	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 18.7 GB headroom remains at this quantization.
10	Mac Studio M4 Max 48GB	319	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$2,499	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 18.7 GB headroom remains at this quantization.
11	MacBook Pro M4 Pro 48GB 16-inch	319	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$2,999	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 18.7 GB headroom remains at this quantization.
12	MacBook Pro M4 Max 48GB 14-inch	319	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$3,499	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 18.7 GB headroom remains at this quantization.
13	MacBook Pro M4 Max 48GB 16-inch	319	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$3,999	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 18.7 GB headroom remains at this quantization.
14	Mac Studio M4 Max 36GB	307	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$1,999	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 6.7 GB headroom remains at this quantization.
15	MacBook Pro M4 Max 36GB 14-inch	307	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$2,999	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 6.7 GB headroom remains at this quantization.
16	MacBook Pro M4 Max 36GB 16-inch	307	8bit	58.5 tok/s	llama.cpp	Fits	Estimated	$3,499	8bit is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 6.7 GB headroom remains at this quantization.
17	Mac Mini M4 32GB	302	Q6_K	58.5 tok/s	llama.cpp	Fits	Estimated	$799	Q6_K is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 7.8 GB headroom remains at this quantization.
18	MacBook Air M4 32GB 13-inch	302	Q6_K	58.5 tok/s	llama.cpp	Fits	Estimated	$1,499	Q6_K is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 7.8 GB headroom remains at this quantization.
19	MacBook Air M4 32GB 15-inch	302	Q6_K	58.5 tok/s	llama.cpp	Fits	Estimated	$1,699	Q6_K is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 7.8 GB headroom remains at this quantization.
20	Mac Mini M4 24GB	293	Q5	58.5 tok/s	llama.cpp	Fits	Estimated	$599	Q5 is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 5.4 GB headroom remains at this quantization.
21	MacBook Air M4 24GB 13-inch	293	Q5	58.5 tok/s	llama.cpp	Fits	Estimated	$1,299	Q5 is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 5.4 GB headroom remains at this quantization.
22	Mac Mini M4 Pro 24GB	293	Q5	58.5 tok/s	llama.cpp	Fits	Estimated	$1,399	Q5 is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 5.4 GB headroom remains at this quantization.
23	MacBook Air M4 24GB 15-inch	293	Q5	58.5 tok/s	llama.cpp	Fits	Estimated	$1,499	Q5 is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 5.4 GB headroom remains at this quantization.
24	MacBook Pro M4 Pro 24GB 14-inch	293	Q5	58.5 tok/s	llama.cpp	Fits	Estimated	$1,999	Q5 is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 5.4 GB headroom remains at this quantization.
25	MacBook Pro M4 Pro 24GB 16-inch	293	Q5	58.5 tok/s	llama.cpp	Fits	Estimated	$2,499	Q5 is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 5.4 GB headroom remains at this quantization.
26	Mac Mini M4 16GB	264	Q2_K	58.5 tok/s	llama.cpp	Fits	Estimated	$499	Q2_K is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 5.8 GB headroom remains at this quantization.
27	MacBook Air M4 16GB 13-inch	264	Q2_K	58.5 tok/s	llama.cpp	Fits	Estimated	$1,099	Q2_K is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 5.8 GB headroom remains at this quantization.
28	MacBook Air M4 16GB 15-inch	264	Q2_K	58.5 tok/s	llama.cpp	Fits	Estimated	$1,299	Q2_K is the current best practical quantization. 58.5 tok/s is estimated from nearby benchmark coverage. 5.8 GB headroom remains at this quantization.

Qwen3-Coder-30B-A3B — 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: IQ4_XS

1Benchmark rows

1Chip tiers covered

58.5Fastest avg tok/s (M1 Max (64 GB))

16.1 GBMinimum RAM observed

What this page answers best

Fastest published result is 58.5 tok/s on M1 Max (64 GB) at IQ4_XS. Smallest published fit is 16.1 GB on M1 Max (64 GB). Longest published context on this page is 4k. Published runtimes include llama.cpp. Start with Rankings for the decision, then use the raw rows below to audit the evidence.

Evidence state: 1 linked reference row and no Silicon Score Lab rows yet.

Published runtimes here: llama.cpp.

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Catalog record

30.5BTotal params

3.3BActive params

262,144Context window

2025-07-31Release 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

Significant Performance among open models on Agentic Coding, Agentic Browser-Use, and other foundational coding tasks. Long-context Capabilities with native support for 256K tokens, extendable up to 1M tokens using Yarn, optimized for repository-scale understanding.

Official source · Raw model card

agentscoding

Runtime support mentioned

MLXllama.cppOllamaTransformersKTransformersCline

Official takeaways

Type: Causal Language Models.
Scale: 30.5B in total and 3.3B activated.
Context: 262,144 natively..
Sampling Parameters: - We suggest using temperature=0.7, topp=0.8, topk=20, repetitionpenalty=1.05`.

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

Field reality on Apple Silicon

Qwen3-Coder-30B-A3B: 1 Apple Silicon field report; best reported generation ~58.5 tok/s; best reported prompt processing ~132.1 tok/s; seen on M1 MAX 64GB; via llama.cpp.

1Benchmark rows

1Field reports

3Practitioner signals

Sparse BenchmarksEvidence status

What practitioners keep saying

The guidance positions Qwen3 Coder 30B as the default serious local coding choice.
The recommendation is framed around practical local hardware constraints, including Mac-class setups.
The report compares multiple current coding-oriented MoE models on Apple Silicon instead of discussing one in isolation.

Runtime mentions in the field

ClineContinuellama.cppLM StudioMLXOllama

Hardware mentioned in reports

16GB32GB64GB128GBM1 MaxMacMacBookMacBook Pro

What would improve confidence

Capture Practitioner Runtime Notes
Expand Cross Chip Benchmark Coverage
Queue Lab Verification If Hardware Available
Reproduce Field Performance Signal

Current published coverage

Published chip coverage includes M1 Max (64 GB). Fastest published row is 58.5 tok/s on M1 Max (64 GB) at IQ4_XS. Lowest published RAM requirement is 16.1 GB on M1 Max (64 GB). Catalog context window is 4k.

M1 Max (64 GB)

Related Qwen3-Coder-30B-A3B models with published pages: Qwen3-Coder-Next

Raw benchmark rows for Qwen3-Coder-30B-A3B

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
M1 Max (64 GB)	IQ4_XS	16.1 GB	4k	58.5 tok/s	132.1 tok/s	llama.cpp	ref

Chips with published results for Qwen3-Coder-30B-A3B

M1 Max (64 GB)

Data

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

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