1 link tagged with all of: decision model + cost efficiency + liquid ai + vision + classification
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Liquid AI released d1 with image support, a decision model designed for yes/no and classification tasks. It matches or beats GPT-6.1 Sol on most benchmarks while costing 19-200x less and running 200-300ms per decision.
- d1 processes images and text to output probabilities for binary, choice, or scoring questions in a single forward pass without token generation
- Benchmarked against GPT-6.1 Sol and Claude Opus 5.5 on six real applications (support ticket filtering, circuit board inspection, etc.), matching or beating GPT-6.1 Sol on four of them
- Costs 19-200x less than comparable frontier models with significantly faster inference speed