Arcee AI: Spotlight

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Model Card

Arcee Spotlight is a 7-billion-parameter vision-language model from Arcee AI, derived from Qwen2.5-VL and fine-tuned for tight image-text grounding tasks including visual question answering, image captioning, and diagram analysis.

At 7B parameters it is designed for fast inference, making it practical for real-time or high-volume multimodal API workloads where latency and cost are constraints. Early benchmarks show it matching or outscoring larger VLMs such as LLaVA-1.6 13B on VQA and POPE alignment tests.

A strong choice for developers who need capable vision-language understanding without the cost overhead of larger multimodal models — well suited for document parsing, visual QA pipelines, and image-grounded chat.

Context Window 131K

tokens

Max Output 66K

tokens

Input Cost $0.18

per million tokens

Output Cost $0.18

per million tokens

Release Date May 5, 2025

Code Example

Add AI to your app with the Puter.js AI API, no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms").then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

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Chat

Trinity Large Thinking

Trinity Large Thinking is a 398-billion-parameter sparse Mixture-of-Experts reasoning model from Arcee AI, with approximately 13B active parameters per token, post-trained with extended chain-of-thought and agentic reinforcement learning. It generates explicit reasoning traces in thinking blocks before final responses, and its 262K context window accommodates long agentic reasoning chains. Benchmark results include 94.7% on τ²-Bench and 98.2% on LiveCodeBench, placing it at #2 on PinchBench behind only Claude Opus 4.6. Released under Apache 2.0, Trinity Large Thinking is the strongest option in the Trinity family for agentic pipelines, long-horizon planning, complex multi-step coding, and tasks that benefit from transparent reasoning traces.

Frequently Asked Questions

How do I use Spotlight?

Spotlight is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Spotlight?

Spotlight costs $0.18 per 1M input tokens and $0.18 per 1M output tokens.

	Price per 1M tokens
Input	$0.18
Output	$0.18

Who created Spotlight?

Spotlight was created by Arcee AI and released on May 5, 2025.

What is the context window of Spotlight?

Spotlight supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

What is the max output length of Spotlight?

Spotlight can generate up to 66K tokens in a single response.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Spotlight API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

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