Allen AI: Molmo2 8B

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Molmo 2 8B is an open vision-language model from the Allen Institute for AI (AI2), built on a Qwen3-8B language backbone with a SigLIP 2 vision encoder. It supports single images, multi-image inputs, and video clips.

On its 11-benchmark image average, Molmo 2 8B leads all open-weight models in its class. It achieves 32.9% on video pointing versus 17% for Gemini 2.5 Pro, and tops open-weight scores across seven video benchmarks including Video-MME and MVBench. It also outperforms the original Molmo 72B on grounding tasks despite being far smaller.

A strong choice for multimodal applications requiring precise spatial reasoning, visual grounding, or video understanding via API.

Context Window N/A

tokens

Max Output 37K

tokens

Input Cost $0.2

per million tokens

Output Cost $0.2

per million tokens

Release Date Dec 14, 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>

Frequently Asked Questions

How do I use Molmo2 8B?

Molmo2 8B is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for Molmo2 8B?

Molmo2 8B costs $0.2 per 1M input tokens and $0.2 per 1M output tokens.

	Price per 1M tokens
Input	$0.2
Output	$0.2

Who created Molmo2 8B?

Molmo2 8B was created by Allen AI and released on Dec 14, 2025.

What is the max output length of Molmo2 8B?

Molmo2 8B can generate up to 37K tokens in a single response.

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

Yes — the Molmo2 8B 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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