Qwen 3 Coder Next

by Alibaba

Qwen3 Coder Next is an open-weight ultra-sparse Mixture-of-Experts model with 80 billion total parameters, activating just 3 billion per forward pass. It delivers roughly 10x higher throughput than comparable dense models, with a 256K context window extendable further for repository tasks. Released in February 2026 under the Apache 2.0 license, it scores 70.6 on SWE-Bench Verified and reports leading secure-code-generation results, outperforming a top proprietary model on the SecCodeBench security benchmark. It supports 370 programming languages with tool use and structured output for agentic coding. Open availability makes it practical to run frontier-grade local coding agents on-device, without cloud API dependency.

Key info

Input
Output
Features
Context window
262K
Max output
—

Best for

How Qwen 3 Coder Next scores on each use case.

Benchmarks

Independent benchmark scores: the Intelligence Index and the individual evaluations behind it, grouped by skill.

Global rank#283 of 508 LLMs
TierEfficient
Output speed80 tok/s
Intelligence Index (previous version)9.2
Coding
Terminal-Bench 4.0
0%
SciCode
36%
Agentic & knowledge work
AutomationBench
1%
GDPval
1%
GDP.pdf
3%
Briefcase (Elo)404
Terminal-Bench Hard
18%
τ²-Bench Telecom
80%
Science & reasoning
HLE Diamond
4%
Humanity's Last Exam
10%
GPQA Diamond
74%
Long-context reasoning
47%
Math & instruction following
IFBench
35%

Available routes

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