Alibaba

Qwen3-Coder-Next

Name: Qwen3-Coder-Next
Rating: 89 (44 reviews)
Author: Alibaba

Frontier

HuggingFace

Ollama

937.9KDownloads1.4KLikesJan 2026Veröffentlicht256K TokenKontextApache 2.0Lizenz93 HerausragendQualität

Qwen3-Coder-Next (80B parameters) requires approximately 52.1 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 3B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 60 GB of VRAM.

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— kopieren & einfügen, um lokal auszuführen

Copy-paste commands to run Qwen3-Coder-Next on your machine.

Run

ollama run qwen3-coder-next

Quick specs

Parameters80B (3B active)

Architecturemoe (MoE)

Context256K tokens

Modalitytext

Min RAM31.2 GB

Rec. RAM48.8 GB (Q4_K_M)

LicenseApache 2.0

FamilyQwen Coder

✓ Code✓ Reasoning

About this model

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:

•Super Efficient with Significant Performance: With only 3B activated parameters (80B total parameters), it achieves performance comparable to...
•Advanced Agentic Capabilities: Through an elaborate training recipe, it excels at long-horizon reasoning, complex tool usage, and recovery from...
•Versatile Integration with Real-World IDE: Its 256k context length, combined with adaptability to various scaffold templates, enables seamless...

Verwandte Modelle

Schnellauswahl

Bestes BudgetS

MacBook Pro M3 Max 128GB~$2,499 — 23 tok/s

Beste GesamtwahlS

NVIDIA A100 80GB~$15,000 — 116 tok/s

Beste Hardware

Top-Empfehlungen für Qwen3-Coder-Next

NVIDIA H100 PCIe 80GBS

80 GB

Dieses Modell ausführen

Qwen3-Coder-Next on NVIDIA A100 80GB Qwen3-Coder-Next on NVIDIA H100 80GB Qwen3-Coder-Next on NVIDIA A800 80GB

Quantisierungsoptionen

VRAM-Schätzungen nach Quantisierungsstufe

No hardware detected — fit column shows raw VRAM estimates

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	31.2 GB	Low	—
Q3_K_S	3	39.2 GB	Low	—
NVFP4	4	44.8 GB	Medium	—
Q4_K_M	4	48.8 GB	Medium	—
Q5_K_M	5	57.6 GB	High	—
Q6_K	6	65.6 GB	High	—
Q8_0	8	85.6 GB	Very High	—
F16	16	164.0 GB	Maximum	—

Quality benchmarks

Qwen3-Coder-Next benchmark scores

Benchmark verified

Coding

SWE-bench Verified70.6%

HumanEval+—

Aider Polyglot—

LiveCodeBench74.5%

Reasoning

MMLU-Pro78.4%

GPQA Diamond—

MATH-500—

ARC Challenge—

Source: official · 2026-01-30

Hardware-Kompatibilität

Eignungsschätzungen für alle Hardware

Rechner öffnen

Computing compatibility...

Speicheraufschlüsselung

Reference: RTX 2060 6GB

Weights48.8 GB

KV Cache1.5 GB

Runtime1.2 GB

Headroom0.6 GB

Häufig gestellte Fragen

FAQ — Qwen3-Coder-Next

Siehe auch

Quantisierungsleitfaden Bewertungsmethodik Rechner öffnen