Arcee AI: Coder Large
arcee-ai/coder-large
Description
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.
How this model compares
Overall covers the full catalog. By plan covers only models available on that tier (same rules as available models in your list). Position on min–average–max. Prices use the higher of prompt or completion per token, shown per 1M tokens.
Price (per 1M tokens)
Min
Max
This model
339 models in this groupPrice (per 1M tokens)
- Min
- $0.04
- Avg
- $12.395447
- Max
- $750.00
This model: $0.80 / 1M tokens
Context length (tokens)
Min
Max
This model
339 models in this groupContext length (tokens)
- Min
- 4,095 tokens
- Avg
- 379,884.782 tokens
- Max
- 10,000,000 tokens
This model: 32,768 tokens
Capabilities
Text → TextContext: 32,768 tokens
Input:
Text
Output:
Text