LLM Reference

Arcee Spotlight

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

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

Use it for

  • Teams evaluating rag, agents, and long context
  • Workloads that can use a 128k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Teams that need a tracked hosted API route today
Specifications
Released
2025-12-01
Context
128k
Parameters
7B
Architecture
Decoder Only
Specialization
general
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

Spotlight is Arcee AI's 7B vision-language model derived from Qwen 2.5-VL, fine-tuned for tight instruction following in multimodal tasks at 128K context.

Arcee Spotlight is an open-source model. The structured metadata tracks a 128k-token context window, multimodal input, function calling, tool use, and structured outputs. No headline benchmark score is tracked for Arcee Spotlight yet.

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

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

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

VisionMultimodalFunction CallingTool UseStructured Outputs

Benchmark peer barsfor RAG

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

Migration checks

No linked migration route is available for this model yet.