Canonical Rankings

Best Macs for this model

Qwen3-Coder-Next 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	542	8bit	74.0 tok/s	MLX	Fits	Estimated	$7,499	8bit is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 180.2 GB headroom remains at this quantization.
2	Mac Pro M2 Ultra 192GB	478	8bit	74.0 tok/s	MLX	Fits	Estimated	$6,999	8bit is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 116.2 GB headroom remains at this quantization.
3	Mac Studio M4 Max 128GB	414	8bit	74.0 tok/s	MLX	Fits	Estimated	$4,499	8bit is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 52.2 GB headroom remains at this quantization.
4	MacBook Pro M4 Max 128GB 16-inch	414	8bit	74.0 tok/s	MLX	Fits	Estimated	$5,999	8bit is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 52.2 GB headroom remains at this quantization.
5	Mac Studio M3 Ultra 96GB	382	8bit	74.0 tok/s	MLX	Fits	Estimated	$3,999	8bit is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 20.2 GB headroom remains at this quantization.
6	Mac Studio M4 Max 64GB	366	Q5_K_M	74.0 tok/s	MLX	Fits	Estimated	$2,999	Q5_K_M is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 9.8 GB headroom remains at this quantization.
7	MacBook Pro M4 Max 64GB 16-inch	366	Q5_K_M	74.0 tok/s	MLX	Fits	Estimated	$4,499	Q5_K_M is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 9.8 GB headroom remains at this quantization.
8	Mac Mini M4 Pro 48GB	359	q4.1bit	74.0 tok/s	MLX	Fits	Estimated	$1,599	q4.1bit is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 8.6 GB headroom remains at this quantization.
9	MacBook Pro M4 Pro 48GB 14-inch	359	q4.1bit	74.0 tok/s	MLX	Fits	Estimated	$2,499	q4.1bit is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 8.6 GB headroom remains at this quantization.
10	Mac Studio M4 Max 48GB	359	q4.1bit	74.0 tok/s	MLX	Fits	Estimated	$2,499	q4.1bit is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 8.6 GB headroom remains at this quantization.
11	MacBook Pro M4 Pro 48GB 16-inch	359	q4.1bit	74.0 tok/s	MLX	Fits	Estimated	$2,999	q4.1bit is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 8.6 GB headroom remains at this quantization.
12	MacBook Pro M4 Max 48GB 14-inch	359	q4.1bit	74.0 tok/s	MLX	Fits	Estimated	$3,499	q4.1bit is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 8.6 GB headroom remains at this quantization.
13	MacBook Pro M4 Max 48GB 16-inch	359	q4.1bit	74.0 tok/s	MLX	Fits	Estimated	$3,999	q4.1bit is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 8.6 GB headroom remains at this quantization.
14	Mac Studio M4 Max 36GB	330	Q2_K	74.0 tok/s	MLX	Fits	Estimated	$1,999	Q2_K is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 10.3 GB headroom remains at this quantization.
15	MacBook Pro M4 Max 36GB 14-inch	330	Q2_K	74.0 tok/s	MLX	Fits	Estimated	$2,999	Q2_K is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 10.3 GB headroom remains at this quantization.
16	MacBook Pro M4 Max 36GB 16-inch	330	Q2_K	74.0 tok/s	MLX	Fits	Estimated	$3,499	Q2_K is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 10.3 GB headroom remains at this quantization.
17	Mac Mini M4 32GB	326	Q2_K	74.0 tok/s	MLX	Fits	Estimated	$799	Q2_K is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 6.3 GB headroom remains at this quantization.
18	MacBook Air M4 32GB 13-inch	326	Q2_K	74.0 tok/s	MLX	Fits	Estimated	$1,499	Q2_K is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 6.3 GB headroom remains at this quantization.
19	MacBook Air M4 32GB 15-inch	326	Q2_K	74.0 tok/s	MLX	Fits	Estimated	$1,699	Q2_K is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 6.3 GB headroom remains at this quantization.
20	Mac Mini M4 24GB	324	IQ2_XS	74.0 tok/s	MLX	Fits	Estimated	$599	IQ2_XS is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 4.1 GB headroom remains at this quantization.
21	MacBook Air M4 24GB 13-inch	324	IQ2_XS	74.0 tok/s	MLX	Fits	Estimated	$1,299	IQ2_XS is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 4.1 GB headroom remains at this quantization.
22	Mac Mini M4 Pro 24GB	324	IQ2_XS	74.0 tok/s	MLX	Fits	Estimated	$1,399	IQ2_XS is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 4.1 GB headroom remains at this quantization.
23	MacBook Air M4 24GB 15-inch	324	IQ2_XS	74.0 tok/s	MLX	Fits	Estimated	$1,499	IQ2_XS is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 4.1 GB headroom remains at this quantization.
24	MacBook Pro M4 Pro 24GB 14-inch	324	IQ2_XS	74.0 tok/s	MLX	Fits	Estimated	$1,999	IQ2_XS is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 4.1 GB headroom remains at this quantization.
25	MacBook Pro M4 Pro 24GB 16-inch	324	IQ2_XS	74.0 tok/s	MLX	Fits	Estimated	$2,499	IQ2_XS is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 4.1 GB headroom remains at this quantization.
26	Mac Mini M4 16GB	0	F32	—	MLX	No	Estimated	$499	Qwen3-Coder-Next does not fit on Mac Mini M4 16GB at the current practical quantization.
27	MacBook Air M4 16GB 13-inch	0	F32	—	MLX	No	Estimated	$1,099	Qwen3-Coder-Next does not fit on MacBook Air M4 16GB 13-inch at the current practical quantization.
28	MacBook Air M4 16GB 15-inch	0	F32	—	MLX	No	Estimated	$1,299	Qwen3-Coder-Next does not fit on MacBook Air M4 16GB 15-inch at the current practical quantization.

Qwen3-Coder-Next — 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: 8bit, 4bit, 6bit

6Benchmark rows

2Chip tiers covered

79.3Fastest avg tok/s (M5 Max (128 GB))

44.9 GBMinimum RAM observed

What this page answers best

Fastest published result is 79.3 tok/s on M5 Max (128 GB) at 8bit. Smallest published fit is 44.9 GB on M3 Ultra (256 GB). Longest published context on this page is 66k. Published runtimes include MLX. Start with Rankings for the decision, then use the raw rows below to audit the evidence.

Evidence state: 6 linked reference rows and no Silicon Score Lab rows yet.

Published runtimes here: 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

80BTotal params

3BActive params

262,144Context window

2026-01-30Release 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

Today, we're announcing Qwen3-Coder-Next, an open-weight language model designed specifically for coding agents and local development. It features the following key enhancements:

Official source · Raw model card

agentscodingreasoningvisual-understanding

Runtime support mentioned

MLXllama.cppOllamavLLMSGLangTransformersKTransformersClaude CodeCline

Official takeaways

Type: Causal Language Models.
Scale: 80B in total and 3B activated.
Context: 262,144 natively.
Super Efficient with Significant Performance: With only 3B activated parameters (80B total parameters), it achieves performance comparable to models with 10–20x more active parameters, making it highly cost-effective fo…

Deployment notes

For deployment, you can use the latest sglang or vllm to create an OpenAI-compatible API endpoint.

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-Next: 3 Apple Silicon field reports; best reported generation ~79.3 tok/s; seen on MacBook Pro M5 MAX 128GB, Mac Studio M3 ULTRA 256GB; via MLX.

6Benchmark rows

3Field reports

6Practitioner signals

Sparse BenchmarksEvidence status

What practitioners keep saying

The posted mlx_lm measurements report about 79.3 tok/s at 4K context, 68.6 tok/s at 32K, and still about 48.2 tok/s at 64K for the 8-bit model.
This is strong evidence that the new Apple laptop frontier is not just fitting coding-class models, but running them at clearly interactive speed even under long-context loads.
The operator reports roughly 65 tok/s decode for the 6-bit model on a Mac Studio M3 Ultra 256GB while still preferring it as the sweet spot for coding quality.

Runtime mentions in the field

Claude CodeClinellama.cppLM StudioMLXOllama

Hardware mentioned in reports

16GB24GB48GB64GB96GB128GBM1 MaxM3 Ultra

What would improve confidence

Capture Practitioner Runtime Notes
Queue Lab Verification If Hardware Available
Reproduce Field Performance Signal
Upgrade To First Party Measurement

Current published coverage

Published chip coverage includes M5 Max (128 GB), M3 Ultra (256 GB). Fastest published row is 79.3 tok/s on M5 Max (128 GB) at 8bit. Lowest published RAM requirement is 44.9 GB on M3 Ultra (256 GB). Catalog context window is 66k.

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

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

Standardized eval scorecards for Qwen3-Coder-Next

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.

4bit · vLLM-MLX

Mac Studio M3 Ultra 256GB · Avg 80%

90%Tools

90%Coding

70%Reasoning

70%General

Speed and memory

Long decode: 73.5 tok/s
Short decode: 41.5 tok/s
Cold TTFT: 0.473 s
Active RAM: 44.9 GB

The fast coding-first option in this scorecard, with strong tool behavior.

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

6bit · vLLM-MLX

Mac Studio M3 Ultra 256GB · Avg 82%

87%Tools

90%Coding

80%Reasoning

70%General

Speed and memory

Long decode: 65.6 tok/s
Short decode: 34.6 tok/s
Cold TTFT: 0.642 s
Active RAM: 64.8 GB

Slightly slower than 4-bit, but reasoning is stronger and coding stays high.

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

Raw benchmark rows for Qwen3-Coder-Next

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)	8bit	87.1 GB	4k	79.3 tok/s	754.9 tok/s	MLX	ref
M5 Max (128 GB)	8bit	88.2 GB	16k	74.3 tok/s	1802.1 tok/s	MLX	ref
M3 Ultra (256 GB)	4bit	44.9 GB	—	74.0 tok/s	—	MLX	ref
M5 Max (128 GB)	8bit	89.7 GB	33k	68.6 tok/s	1887.2 tok/s	MLX	ref
M3 Ultra (256 GB)	6bit	64.8 GB	—	66.0 tok/s	—	MLX	ref
M5 Max (128 GB)	8bit	92.6 GB	66k	48.2 tok/s	1432.7 tok/s	MLX	ref

Chips with published results for Qwen3-Coder-Next

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

Data

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

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