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OpenRouter announced the launch of RespanAI's Span-02 decision model. According to information released by OpenRouter, Span-02 is an open-weight decision model that accepts text and images as input and, after a problem is defined, returns a choice, yes/no/unknown, or a score with probabilities. The model is priced at $0.01 per million input tokens, with output free, and has a context length of 131K. It runs on the OpenRouter Decisions API, with a request format consistent with other decision models, so switching requires only changing one line of the model name; images and text are placed in the same state, with a maximum of 4 images per request. The model is currently live, and there are no subsequent developments yet.
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OpenRouter launches RespanAI's Span-02 decision modelDevelopments
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Oct 17
OpenRouterFirst-party
OpenRouter launches RespanAI's Span-02 decision model
OpenRouter has announced that RespanAI's Span-02 is now available: it is an open-weight decision model that takes text and images as input, and after you define a question, returns a choice, yes/no/unknown, or a score with probabilities. Pricing is $0.01/M input tokens, output is free, and the context window is 131K. It runs on the OpenRouter Decisions API, with the same request format as other decision models, so switching only requires changing one line with the model name; images and text are placed in the same state, with a maximum of 4 images per request.