Model overview
> OxCoder-9B is developed by OrionLLM, a lightweight 9-billion-parameter coding model built on Qwen3.5-9B for long-horizon agentic coding, terminal automation, and agentic reasoning, distilled from frontier agentic trajectories generated by Fable-5.1 and GLM-5.3 across Claude Code, OpenCode, and Codex environments. It ships with a full 262,144-token native context window for handling complex multi-file codebases, learns error-recovery behaviors like read-before-write patterns and LSP-diagnostic-driven minimal edit diffs rather than full rewrites, and exhibits notably strong front-end reasoning for a sub-10B model, with deep understanding of UI logic and component architecture. Despite its compact size, OxCoder-9B punches well above its weight class, outperforming Ornith-1.5-9B, Ornith-1.0-9B, Qwen3.5-9B, and even the larger Gemma-4-31B across nearly every reported benchmark — including 50.8 on Terminal-Bench 2.1 (Claude Code), 73.5 on SWE-bench Verified, 49.1 on SWE-bench Pro, 86.9 on GPQA Diamond, and 67.8 on ClawEval — reflecting particular strength in agentic terminal coding and real-world software engineering tasks relative to its parameter count. The model is released under the Apache 2.0 License. File Name | Quant Type | File Size | File Link | |-----------|------------|-----------|-----------| | OxCoder-9B.BF16.gguf | BF16 | 17.9 GB | Download | | OxCoder-9B.Q3_K_L.gguf | Q3_K_L | 4.93 GB | Download | | OxCoder-9B.Q3_K_M.gguf | Q3_K_M | 4.62 GB | Download | | OxCoder-9B.Q3_K_S.gguf | Q3_K_S | 4.26 GB | Download | | OxCoder-9B.Q4_0.gguf | Q4_0 | 5.31 GB | Download | | OxCoder-9B.Q4_K_M.gguf | Q4_K_M | 5.63 GB | Download | | OxCoder-9B.Q4_K_S.gguf | Q4_K_S | 5.35 GB | Download | | OxCoder-9B.Q5_0.gguf | Q5_0 | 6.31 GB | Download | | OxCoder-9B.Q5_K_M.gguf | Q5_K_M | 6.47 GB | Download | | OxCoder-9B.Q5_K_S.gguf | Q5_K_S | 6.31 GB | Download | | OxCoder-9B.mmproj-bf16.gguf | mmproj-bf16 | 922 MB | Download |
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 |
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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。