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Arcee AI: Coder Large

arcee-ai/coder-large

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.

Modalities

Context

33K

Released

May 5, 2025

Knowledge Cutoff

Mar 2025

About Arcee AI: Coder Large

OpenRouter makes Arcee AI: Coder Large available through a unified, OpenAI-compatible API using the model ID arcee-ai/coder-large.

Arcee AI: Coder Large accepts text and returns text. It has a 32,768-token context window.

It was released on May 5, 2025; its knowledge cutoff is March 31, 2025.

More models from Arcee AI

  • Trinity Large Thinking
  • Virtuoso Large

Frequently asked questions

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.

Coder Large has a 32,768 token context window.

Trinity Large Thinking and Virtuoso Large are other text models from Arcee AI.

Coder Large was released on May 5, 2025. Its knowledge cutoff is March 31, 2025.

ActivityFAQ

Activity

Token volume and request traffic to this model over time.