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ModelsQwen3-Coder-Next 80B MoE

Qwen80B MoE

Qwen3-Coder-Next 80B MoE

An 80B mixture-of-experts coding model designed for large codebase analysis, complex refactoring, and architectural reasoning.

80B MoE

parameters

48GB

minimum RAM

Overview

What makes Qwen3-Coder-Next 80B MoE notable

Qwen3-Coder-Next is a mixture-of-experts model with 80B total parameters built specifically for advanced software engineering tasks. Like all MoE models, only a subset of parameters activate per token — making it faster than a dense 80B model while retaining depth for complex tasks.

Where standard coding models excel at function-level generation, Qwen3-Coder-Next is designed for codebase-level understanding: navigating large repositories, understanding architectural patterns, planning multi-file refactors, and reasoning about system design.

This is the right model for developers working on large, complex codebases — enterprise software, monorepos, mature products — where understanding the full context matters as much as writing correct code. On a 48GB Mac, it runs at Q4/Q5 and is still impressively capable.

Best use cases

What it excels at

  • Large codebase analysis and architectural understanding
  • Complex multi-file refactoring with context awareness
  • Security vulnerability detection across a full codebase
  • Generating comprehensive test suites for existing code
  • API design and system architecture planning
  • Onboarding new developers by explaining complex systems

Compatibility

Hardware requirements

Mac modelRAMPerformanceNotes
Mac Mini M4 Pro48GBGoodQ4/Q5 quantization — minimum spec for this model
Mac Studio M4 Max128GBExcellentQ6/Q8 quantization — highly recommended
Mac Studio M3 Ultra192GB+OptimalQ8 full precision — run multiple models simultaneously

Speed

Approximate tokens/second

Mac Mini M4 Pro 48GB~22 tok/s
Mac Studio M4 Max 128GB~55 tok/s
Mac Studio M3 Ultra 192GB+~90 tok/s

Use case fit

Quality ratings

Chat
Coding
Reasoning
Creative Writing
Document Analysis

Cost comparison

Without local AI, the equivalent capability costs:

Cloud equivalent

GitHub Copilot Enterprise

~$200/moper month

Local with Maai Machines

Qwen3-Coder-Next 80B MoE

$0per month

~$10/month electricity. One-time setup.

Run Qwen3-Coder-Next 80B MoE on your own hardware.

Book a consultation. We'll configure this model — and the rest of your stack — in one day.