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Explore AI models 2

Provider Input Output License

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Imager-1

Imagers

**Imager-1** is an AI model designed to detect AI-generated images with high precision; it can detect DALL-E 2. We will soon launch **imager-1-small** and **imager-2**, which will be able to detect DALL-E 3 and other text-to-image models. This repository contains the **base model** of Imager-1, released for **developers and researchers** who want direct access to the architecture, weights, and training pipeline. Imager always publishes a **separately verified and production-ready version** of each model, tested against real-world generators before release. This base model is provided so the community can build on top of it, fine-tune it, or integrate it into their own systems.

Image classification

Input Image→ Output Not verified

Price not verifiedCheck multimodal and channel pricing separately

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imager-1-pro

Imagers

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Image classification

Input Image→ Output Not verified

Price not verifiedCheck multimodal and channel pricing separately

View details ↗

CompareSource / docs ↗

COST EXPLORER

Great models. Clear costs.

Cost analysis

Adjust monthly token usage to compare estimated API costs.

Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
Compares base text-token rates within the same channel

Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.

MODEL HANDBOOK

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Selection guide & FAQ

How should API prices be compared?+

Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

Do open weights mean free commercial use?+

Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.

Is the top-ranked model the best for me?+

Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.