Best Alternatives to Clef in 2025

A multimodal model from OpenAI that handles text, images, and audio, and can be prompted to output structured decisions. It offers broader general-purpose capabilities and extensive API support, though it may require output parsing for strict decision schemas.

Anthropic's multimodal model with strong reasoning and vision capabilities. It can process text and images and return structured outputs via tool use, making it a flexible alternative for decision tasks, though it is not specifically optimized for single-pass probabilistic decisions.

Google's multimodal model supports text, images, audio, and video with a long context window. It can be used for decision-making with structured prompts and offers robust API compatibility, but like GPT-4o, it may require additional parsing for strict schemas.

An open-source multimodal model that combines vision and language understanding. It is suitable for decision tasks involving images and text, and can be fine-tuned for structured outputs, though it lacks native support for video and probabilistic decision schemas.

A lightweight open-source multimodal model from Adept that handles text and images. It is efficient for decision tasks and can be adapted for structured outputs, but it does not natively support video or single-pass probabilistic decisions.

Microsoft's open-source multimodal model that grounds text in images. It is useful for decision tasks requiring visual understanding, but it focuses on grounding rather than probabilistic decision outputs and lacks video support.

Fast, structured AI decisions for software automation

Since Clef's API is fully compatible with Jev, Jev itself is a natural alternative. It provides similar decision-making capabilities, though details about its architecture and modalities are less public. It may be a good fit if you are already in the Jev ecosystem.