LangMart: Arcee AI: Coder Large
Model Overview
| Property | Value |
|---|---|
| Model ID | openrouter/arcee-ai/coder-large |
| Name | Arcee AI: Coder Large |
| Provider | arcee-ai |
| Released | 2025-05-05 |
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. Cost‑wise, Together AI prices it well below proprietary incumbents, so teams can scale interactive coding without runaway spend.
Description
LangMart: Arcee AI: Coder Large is a language model provided by arcee-ai. This model offers advanced capabilities for natural language processing tasks.
Provider
arcee-ai
Specifications
| Spec | Value |
|---|---|
| Context Window | 32,768 tokens |
| Modalities | text->text |
| Input Modalities | text |
| Output Modalities | text |
Pricing
| Type | Price |
|---|---|
| Input | $0.50 per 1M tokens |
| Output | $0.80 per 1M tokens |
Capabilities
- Frequency penalty
- Logit bias
- Max tokens
- Min p
- Presence penalty
- Repetition penalty
- Stop
- Temperature
- Top k
- Top p
Detailed Analysis
Arcee AI: Coder Large