LLM Reference

Arcee Coder Large

Released
2025-12-01
Last refreshed
2026-04-27
Status
Researched 45d ago
Open SourceCommercial use allowedCodingAgentsClassificationJSON / Tool use

Arcee Coder Large has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating coding, agents, and classification
  • Workloads that can use a 32k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Teams that need a tracked hosted API route today
Specifications
Released
2025-12-01
Context
32k
Parameters
32B
Architecture
Decoder Only
Specialization
code
Openness
Open source
License
Apache 2.0(OSI)Commercial use allowed
Training
finetuned
Created by

Agentic AI workflows, efficient and secure

San Francisco, California, United States
Founded 2023
Website
Pricing

No tracked provider token pricing is available yet.

About

Coder Large is Arcee AI's 32B code-focused model, trained on permissively-licensed GitHub repositories and fine-tuned from Qwen 2.5-Instruct for software engineering tasks.

Arcee Coder Large is an open-source model in the Arcee Coder family. The structured metadata tracks a 32k-token context window, function calling, tool use, structured outputs, and code execution. No headline benchmark score is tracked for Arcee Coder Large yet.

Top use-case fit: coding, agents, and build tasks

Coding

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Classification

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

Function CallingTool UseStructured OutputsCode Execution

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.