LLM Reference

Arcee Coder Models by Arcee AI

Arcee AIApache 2.0Open source
1 model2025Up to 32k ctx

Details

ResearcherArcee AI
LicenseApache 2.0(OSI)
Commercial useCommercial use allowed
Models1
Released2025
Max context32k

Capabilities

Function CallingAll models
Tool UseAll models
Structured OutputsAll models
Code ExecutionAll models

Links

Website

About

Arcee AI Coder is a 32B code-focused model trained on permissively-licensed GitHub repositories.

Current Variants

Use-when guidance is derived from seed capabilities, context, release, and replacement fields.

1 in view

Use when the workload needs code, 32k context, and 32B parameters.

2025-12code32k context32B parameters

Release Timeline

1 release group
2025-12
1 current
Arcee Coder Large
code32k context32B parameters
Current

Specifications(1 models)

Arcee Coder model specifications comparison
ModelReleasedContextParametersFn CallingTool UseStructured OutputsCode Exec
Arcee Coder Large2025-1232k32BYesYesYesYes

Frequently Asked Questions

What is Arcee Coder used for?
Arcee Coder is used for code, agent workflows and tool use, and structured outputs. The family description and listed model capabilities point to those workloads as the best fit.
How does Arcee Coder compare to AFM?
Arcee Coder by Arcee AI is strongest where you need code, while AFM by Arcee AI is the closest related family to check for adjacent model selection. Arcee Coder has 1 listed variant and reaches up to 32k context, while AFM reaches up to 66k context, so compare the specs and pricing tables before choosing a production model.
Which Arcee Coder model should I use?
If price is the main constraint, use the pricing table first because Arcee Coder does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Arcee Coder Large with 32k context and tool use, function calling, and structured outputs.