RespanAI Decision Model Span-02 Launches on OpenRouter
OpenRouter announced that RespanAI's Span-02 is now live. It is an open-weight decision model: after you input text and images and define a question, it can return options, yes/no/unknown, or scores with probabilities; pricing is $0.01/M input tokens, output is free, and the context is 131K. It runs on the OpenRouter Decisions API, with the same request format as other decision models—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.
View original postSpan-02 is the cheapest decision model: $0.01/M input tokens. With thinking off, it delivers frontier-level decision-making at lowest latency. Need more? Give it a reasoning budget. Span-02 thinks until the deadline, then returns its best decision so far. Stop reasoning anytime. Or let Span-02 decide. In auto mode, an adaptive learned gate picks the reasoning budget for every decision. Fully open weights with a rust inference engine. 7× faster than vLLM.
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Span-02 is the cheapest decision model: $0.01/M input tokens. With thinking off, it delivers frontier-level decision-making at lowest latency. Need more? Give it a reasoning budget. Span-02 thinks until the deadline, then returns its best decision so far. Stop reasoning anytime. Or let Span-02 decide. In auto mode, an adaptive learned gate picks the reasoning budget for every decision. Fully open weights with a rust inference engine. 7× faster than vLLM.
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Span-02 from @RespanAI is now on OpenRouter
An open-weight decision model: give it text and images, define your questions, and get back a choice, a yes/no/unknown, or a score, with probabilities.
$0.01/M input tokens, free output, 131K context.