Fastest published Mac-family result
MacBook Pro M5 Max 128GB 16-inch maps to 79.3 tok/s from the strongest published chip-family row for Qwen3-Coder-Next.
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.
| 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 Apple Silicon benchmark and best Macs
Start with the ranked Mac table above, then audit tokens per second, RAM fit, quantization, runtimes, and source links before trusting the model on your Mac.
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.
Best Mac shortlist
These are ranked by the fastest published Qwen3-Coder-Next result available for each Mac's chip family. Use them as the search answer, then open the machine page before buying.
Shortlist rank 2
Mac Studio M3 Ultra 96GB maps to 74.0 tok/s from the strongest published chip-family row for Qwen3-Coder-Next.
Shortlist rank 3
Mac Studio M3 Ultra 256GB maps to 74.0 tok/s from the strongest published chip-family row for Qwen3-Coder-Next.
Model search answers
How fast is Qwen3-Coder-Next on Mac?
Qwen3-Coder-Next currently has a fastest published Mac result of 79.3 tok/s on M5 Max (128 GB) at 8bit. Check the raw rows on this page before comparing that number to a different runtime, quantization, or context length.
What is the best Mac for Qwen3-Coder-Next?
MacBook Pro M5 Max 128GB 16-inch is the fastest published Mac-family answer for Qwen3-Coder-Next on this page right now, at 79.3 tok/s from its chip family. Treat that as a published benchmark starting point, not a universal buying recommendation.
Does Qwen3-Coder-Next fit on Apple Silicon?
Qwen3-Coder-Next has a smallest published fit of 44.9 GB on M3 Ultra (256 GB). More memory may still be required for longer context, different quantization, or parallel workloads.
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
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.
A standardized M3 Ultra eval makes the 4-bit Qwen3-Coder-Next row the faster local coding reference for Apple Silicon.
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.
Qwen3 Coder Next is already being treated as a premium local coding backend on high-end Apple Silicon, not just as a benchmark curiosity.
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.
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 | Avg tok/s | Runtime | Source |
|---|---|---|---|---|
| M5 Max (128 GB) | 8bit | 79.3 tok/s | MLX | ref |
| M5 Max (128 GB) | 8bit | 74.3 tok/s | MLX | ref |
| M3 Ultra (256 GB) | 4bit | 74.0 tok/s | MLX | ref |
| M5 Max (128 GB) | 8bit | 68.6 tok/s | MLX | ref |
| M3 Ultra (256 GB) | 6bit | 66.0 tok/s | MLX | ref |
| M5 Max (128 GB) | 8bit | 48.2 tok/s | MLX | ref |
Chips with published results for Qwen3-Coder-Next
Data
benchmarks.json — full dataset · models.json — model summaries · benchmarks.csv — CSV export