Qwen: Qwen3 Coder Next
qwen/qwen3-coder-next
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per token, delivering performance comparable to models with 10 to 20x higher active compute, which makes it well suited for cost-sensitive, always-on agent deployment. The model is trained with a strong agentic focus and performs reliably on long-horizon coding tasks, complex tool usage, and recovery from execution failures. With a native 256k context window, it integrates cleanly into real-world CLI and IDE environments and adapts well to common agent scaffolds used by modern coding tools. The model operates exclusively in non-thinking mode and does not emit <think> blocks, simplifying integration for production coding agents.
Model specifications
- Input
- text
- Output
- text
- Context
- 262,144 tokens
- Max output
- 262,144 tokens
- Input price
- $0.18 / 1M tokens
- Output price
- $1.35 / 1M tokens
- Released
- 2026-03-01
Capabilities
- Streaming
- Function calling
- JSON mode
- Playground
Provider pricing, discounts and data privacy
Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.
Standard service tier
1 available provider · tier input average $0.18 / 1M tokens · tier output average $1.35 / 1M tokens
AtlasCloud
Tier: Standard · Region: US
Pricing
- Input
- $0.18 / 1M tokens
- Output
- $1.35 / 1M tokens
No provider discount is currently published.
Data privacy and compliance
- Region
- US
- Zero data retention
- No
- Data retention
- 7-day retention
- Used for training
- No
- Data collection
- Moderated
- No
- GDPR compliant
- No
- HIPAA compliant
- No
- SOC 2 certified
- No
- BYOK supported
- No
Privacy policy · Terms · Official website · Documentation · Support
Frequently asked questions
- What is Qwen: Qwen3 Coder Next?
- Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only 3B activated per token, delivering performance comparable to models with 10 to 20x higher active compute, which makes it well suited for cost-sensitive, always-on agent deployment. The model is trained with a strong agentic focus and performs reliably on long-horizon coding tasks, complex tool usage, and recovery from execution failures. With a native 256k context window, it integrates cleanly into real-world CLI and IDE environments and adapts well to common agent scaffolds used by modern coding tools. The model operates exclusively in non-thinking mode and does not emit <think> blocks, simplifying integration for production coding agents.
- How much does Qwen: Qwen3 Coder Next cost?
- Input costs start at $0.18 / 1M tokens and output costs start at $1.35 / 1M tokens. Provider-level prices vary by service tier.
- What is the context length of Qwen: Qwen3 Coder Next?
- Qwen: Qwen3 Coder Next supports a 262,144 token context window and up to 262,144 output tokens.
- What capabilities does Qwen: Qwen3 Coder Next support?
- Qwen: Qwen3 Coder Next supports Streaming, Function calling, JSON mode, Playground.
- Which providers offer Qwen: Qwen3 Coder Next?
- Qwen: Qwen3 Coder Next is available from AtlasCloud.
- How do providers handle data privacy for Qwen: Qwen3 Coder Next?
- 1 of 1 providers report that customer data is not used for training, and 0 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.