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. 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	542	8bit	74.0 tok/s Fastest evidence path: 8bit · 74.0 tok/s · MLX · Estimated	MLX	Fits	180.2 GB	262k	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 Fastest evidence path: 8bit · 74.0 tok/s · MLX · Estimated	MLX	Fits	116.2 GB	262k	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	MacBook Pro M5 Max 128GB 16-inch	423	8bit	74.3 tok/s Fastest evidence path: 8bit · 74.3 tok/s · MLX · Community row	MLX	Fits	52.2 GB	262k	Community row	$5,399	8bit is the current best practical quantization. 74.3 tok/s is backed by direct benchmark coverage. 52.2 GB headroom remains at this quantization.
4	Mac Studio M4 Max 128GB	414	8bit	74.0 tok/s Fastest evidence path: 8bit · 74.0 tok/s · MLX · Estimated	MLX	Fits	52.2 GB	262k	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.
5	MacBook Pro M4 Max 128GB 16-inch	414	8bit	74.0 tok/s Fastest evidence path: 8bit · 74.0 tok/s · MLX · Estimated	MLX	Fits	52.2 GB	262k	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.
6	Mac Studio M3 Ultra 96GB	382	8bit	74.0 tok/s Fastest evidence path: 8bit · 74.0 tok/s · MLX · Estimated	MLX	Fits	20.2 GB	72k	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.
7	Mac Studio M4 Max 64GB	366	Q5_K_M	74.0 tok/s Fastest evidence path: Q5_K_M · 74.0 tok/s · MLX · Estimated	MLX	Fits	9.8 GB	10k	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.
8	MacBook Pro M4 Max 64GB 16-inch	366	Q5_K_M	74.0 tok/s Fastest evidence path: Q5_K_M · 74.0 tok/s · MLX · Estimated	MLX	Fits	9.8 GB	10k	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.
9	Mac Mini M4 Pro 48GB	359	q4.1bit	74.0 tok/s Fastest evidence path: q4.1bit · 74.0 tok/s · MLX · Estimated	MLX	Fits	8.6 GB	23k	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.
10	MacBook Pro M4 Pro 48GB 14-inch	359	q4.1bit	74.0 tok/s Fastest evidence path: q4.1bit · 74.0 tok/s · MLX · Estimated	MLX	Fits	8.6 GB	23k	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	Mac Studio M4 Max 48GB	359	q4.1bit	74.0 tok/s Fastest evidence path: q4.1bit · 74.0 tok/s · MLX · Estimated	MLX	Fits	8.6 GB	23k	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.
12	MacBook Pro M4 Pro 48GB 16-inch	359	q4.1bit	74.0 tok/s Fastest evidence path: q4.1bit · 74.0 tok/s · MLX · Estimated	MLX	Fits	8.6 GB	23k	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.
13	MacBook Pro M4 Max 48GB 14-inch	359	q4.1bit	74.0 tok/s Fastest evidence path: q4.1bit · 74.0 tok/s · MLX · Estimated	MLX	Fits	8.6 GB	23k	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.
14	MacBook Pro M4 Max 48GB 16-inch	359	q4.1bit	74.0 tok/s Fastest evidence path: q4.1bit · 74.0 tok/s · MLX · Estimated	MLX	Fits	8.6 GB	23k	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.
15	Mac Studio M4 Max 36GB	327	3bit	74.0 tok/s Fastest evidence path: 3bit · 74.0 tok/s · MLX · Estimated	MLX	Fits	6.8 GB	24k	Estimated	$1,999	3bit is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 6.8 GB headroom remains at this quantization.
16	MacBook Pro M4 Max 36GB 14-inch	327	3bit	74.0 tok/s Fastest evidence path: 3bit · 74.0 tok/s · MLX · Estimated	MLX	Fits	6.8 GB	24k	Estimated	$2,999	3bit is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 6.8 GB headroom remains at this quantization.
17	MacBook Pro M4 Max 36GB 16-inch	327	3bit	74.0 tok/s Fastest evidence path: 3bit · 74.0 tok/s · MLX · Estimated	MLX	Fits	6.8 GB	24k	Estimated	$3,499	3bit is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 6.8 GB headroom remains at this quantization.
18	Mac Mini M4 32GB	326	mlx-dynamic-2.7bpw	74.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 74.0 tok/s · MLX · Estimated	MLX	Fits	5.6 GB	17k	Estimated	$799	mlx-dynamic-2.7bpw is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 5.6 GB headroom remains at this quantization.
19	MacBook Air M4 32GB 13-inch	326	mlx-dynamic-2.7bpw	74.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 74.0 tok/s · MLX · Estimated	MLX	Fits	5.6 GB	17k	Estimated	$1,499	mlx-dynamic-2.7bpw is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 5.6 GB headroom remains at this quantization.
20	MacBook Air M4 32GB 15-inch	326	mlx-dynamic-2.7bpw	74.0 tok/s Fastest evidence path: mlx-dynamic-2.7bpw · 74.0 tok/s · MLX · Estimated	MLX	Fits	5.6 GB	17k	Estimated	$1,699	mlx-dynamic-2.7bpw is the current best practical quantization. 74.0 tok/s is estimated from nearby benchmark coverage. 5.6 GB headroom remains at this quantization.
21	Mac Mini M4 24GB	324	IQ2_XS	74.0 tok/s Fastest evidence path: IQ2_XS · 74.0 tok/s · MLX · Estimated	MLX	Fits	4.1 GB	14k	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.
22	MacBook Air M4 24GB 13-inch	324	IQ2_XS	74.0 tok/s Fastest evidence path: IQ2_XS · 74.0 tok/s · MLX · Estimated	MLX	Fits	4.1 GB	14k	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.
23	Mac Mini M4 Pro 24GB	324	IQ2_XS	74.0 tok/s Fastest evidence path: IQ2_XS · 74.0 tok/s · MLX · Estimated	MLX	Fits	4.1 GB	14k	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.
24	MacBook Air M4 24GB 15-inch	324	IQ2_XS	74.0 tok/s Fastest evidence path: IQ2_XS · 74.0 tok/s · MLX · Estimated	MLX	Fits	4.1 GB	14k	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.
25	MacBook Pro M4 Pro 24GB 14-inch	324	IQ2_XS	74.0 tok/s Fastest evidence path: IQ2_XS · 74.0 tok/s · MLX · Estimated	MLX	Fits	4.1 GB	14k	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.
26	MacBook Pro M4 Pro 24GB 16-inch	324	IQ2_XS	74.0 tok/s Fastest evidence path: IQ2_XS · 74.0 tok/s · MLX · Estimated	MLX	Fits	4.1 GB	14k	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.
27	Mac Mini M4 16GB	0	F32	—	MLX	No	-283.3 GB	—	Estimated	$499	Qwen3-Coder-Next does not fit on Mac Mini M4 16GB at the current practical quantization.
28	MacBook Air M4 16GB 13-inch	0	F32	—	MLX	No	-283.3 GB	—	Estimated	$1,099	Qwen3-Coder-Next does not fit on MacBook Air M4 16GB 13-inch at the current practical quantization.
29	MacBook Air M4 16GB 15-inch	0	F32	—	MLX	No	-283.3 GB	—	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

Quick take

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.

Based on 6 external benchmarks; no lab runs yet.

Published runtimes: 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

agentscoding

Runtime support mentioned

MLXllama.cppOllamavLLMSGLangTransformersKTransformersClaude CodeCline

Official specs

Type: Causal Language Models.
Scale: 80B in total and 3B activated.
Context: 262,144 natively.
Total parameters: 80B in total and 3B activated.
Max input: 262,144 natively.

Official takeaways

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…
Advanced Agentic Capabilities: Through an elaborate training recipe, it excels at long-horizon reasoning, complex tool usage, and recovery from execution failures, ensuring robust performance in dynamic coding tasks.
Versatile Integration with Real-World IDE: Its 256k context length, combined with adaptability to various scaffold templates, enables seamless integration with different CLI/IDE platforms (e.g., Claude Code, Qwen Code,…
Today, we're announcing Qwen3-Coder-Next, an open-weight language model designed specifically for coding agents and local development.

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: 7 Apple Silicon field reports; best reported generation ~79.296 tok/s; best reported prompt processing ~1887.158 tok/s; reported RAM use ~87.07-92.61GB; seen on MacBook Pro M5 MAX 128GB, Mac Studio M3 ULTRA 256GB; via MLX.

6Benchmark rows

7Field reports

7Practitioner signals

Sparse BenchmarksEvidence status

What practitioners keep saying

The posted mlx_lm measurements report Qwen3-Coder-Next-8bit on an M5 Max 128GB Mac at 4096 tokens context with 754.927 tok/s prompt processing, 79.296 tok/s generation, and peak memory at 87.068GB.
The posted mlx_lm measurements report Qwen3-Coder-Next-8bit on an M5 Max 128GB Mac at 16384 tokens context with 1802.144 tok/s prompt processing, 74.293 tok/s generation, and peak memory at 88.176GB.
The posted mlx_lm measurements report Qwen3-Coder-Next-8bit on an M5 Max 128GB Mac at 32768 tokens context with 1887.158 tok/s prompt processing, 68.624 tok/s generation, and peak memory at 89.652GB.

Apple Silicon field sources

r/LocalLLaMA
2026-03-11 · MacBook Pro M5 Max 128GB · MLX
Qwen3-Coder-Next is already posting genuinely high-end Apple Silicon coding speed on M5 Max 128GB with raw MLX measurements across long-context sweeps.
r/LocalLLaMA
2026-03-04 · Mac Studio M3 Ultra 256GB · MLX
A standardized M3 Ultra eval makes the 4-bit Qwen3-Coder-Next row the faster local coding reference for Apple Silicon.
r/LocalLLaMA
2026-02-26 · Mac Studio M3 Ultra 256GB · vLLM-MLX
Operators report Qwen3-Coder-Next 6-bit as a genuinely daily-usable local coding backend on M3 Ultra-class Macs when tool calling and cache behavior are handled properly.
r/LocalLLaMA
2026-02-24 · Mac Studio M3 Ultra 512GB · oMLX or MLX
Qwen3 Coder Next is already being treated as a premium local coding backend on high-end Apple Silicon, not just as a benchmark curiosity.
r/LocalLLaMA
2026-02-16 · Mac · OpenClaw
Operators report Qwen3 Coder Next handling day-to-day tool calling well on Mac with OpenClaw.

1 more Apple Silicon field source tracked in the research queue.

Runtime mentions in the field

Claude CodeMLXoMLXOpenClawOpenCodeRoo Code

Hardware mentioned in reports

128GBM3 UltraMacMac StudioMacBookMacBook Pro

What would improve confidence

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

Best Macs for Qwen3-Coder-Next

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 — 79.3 tok/s Mac Studio M3 Ultra 96GB — 74.0 tok/s Mac Studio M3 Ultra 256GB — 74.0 tok/s

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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