Model overview
Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. - **Feb 19 update**: Tool-calling should now be even better after llama.cpp fixes parsing. - **Quantization benchmarks**: See third-party Aider, LiveCodeBench v6, MMLU Pro, GPQA benchmarks for GGUFs here. - **Feb 4 update**: llama.cpp fixed a bug that caused Qwen to loop and have poor outputs. We updated GGUFs - please re-download and update llama.cpp for improved outputs. - It is recommended to have >45GB unified memory or RAM/VRAM to run 4-bit quants. - For best results, use any 2-bit XL quant or above (requires >30GB unified memory /combined RAM + VRAM). - See how to run the model via Claude Code & OpenAI Codex. - For complete detailed instructions (sampling parameters etc.), see our guide: docs.unsloth.ai/models/qwen3-coder-next
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。