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Model details

qwen/qwen3-coder-next

Qwen3-Coder-Next is purpose-built for coding agents and local development workflows, positioning itself as an efficient backbone for autonomous software engineering tasks. Its sparse architecture activates only about 3 billion parameters out of 80 billion total, yet is reported to match the performance of models with 10 to 20 times more active parameters. Training and post-training emphasized long-horizon reasoning, complex tool usage, and graceful recovery from execution failures, so the model can sustain multi-step coding sessions rather than collapse on early errors.

The model's design centers on practical agent integration. A 256k native context window lets it stay aware across large repositories and extended edit histories, while template adaptability enables smooth pairing with popular agent scaffolds and IDE environments such as Claude Code, Qwen Code, Qoder, Kilo, Trae, and Cline. This combination of economical compute per token, broad scaffold compatibility, and resilience to tool-call loops makes Qwen3-Coder-Next a strong fit for developers who want a self-hostable, open-weight assistant to drive coding agents inside real development setups.

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Provider
Jiekou.AI
Model key
qwen/qwen3-coder-next
Release date
Feb 1, 2026
Last updated
Feb 1, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.20
Output token cost
$1.50

Limits

Output tokens
65,536 tokens
Context window
262,144 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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