arcee-ai Coder Large

arcee-ai的Coder Large在Coding类别中表现出色，排名第270，综合评分45/100。Coder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fix corpora. It supports a 32k context window, enabling multi‑file refactoring or long diff review in a single call, and understands 30‑plus programming languages with special attention to TypeScript, Go and Terraform. Internal benchmarks show 5–8 pt gains over CodeLlama‑34 B‑Python on HumanEval and competitive BugFix scores thanks to a reinforcement pass that rewards compilable output. The model emits structured explanations alongside code blocks by default, making it suitable for educational tooling as well as production copilot scenarios. Cost‑wise, Together AI prices it well below proprietary incumbents, so teams can scale interactive coding without runaway spend. 它在基准测试表现和采用指标方面特别突出，适合寻找可靠coding解决方案的个人开发者和企业团队。

Coder Large的价格为每百万输入令牌$0.50，每百万输出令牌$0.80（USD）。如需批量折扣和企业定价，请联系提供商。在coding类别中价格具有竞争力，反映了模型的质量成本比。

在Coding类别中，Coder Large在6个追踪模型中排名第270。其质量排名第270，采用排名第270。您可以使用我们的对比工具查看与特定替代方案的详细并排指标。关键差异化因素包括基准测试综合评分、社区评价和实际采用率。

Coder Large已在5个不同信号中进行评估。最强的领域包括Capabilities（17/100）、Pricing（1/100）、Context Window（72/100）。这些评分来源于行业标准基准测试、社区评价和实际表现指标。综合评分45/100反映了所有追踪信号的加权组合。

Coder Large是付费模型，但部分提供商可能会提供试用积分或有限的免费版用于评估。请查看arcee-ai的网站了解当前免费版可用性和促销优惠。