OpenRouter adds Respan's open-weight Span-02 decision model
Overview
OpenRouter says Respan's Span-02 is now available on its platform as an open-weight decision model.
Per OpenRouter, it accepts text and images, has a 131K-token context window, and returns a choice, a yes/no/unknown answer, or a score with probabilities. Input costs $0.01 per million tokens and output is free.
OpenRouter also says Span-02 runs on its Decisions API using the same request format as its other hosted decision models, so switching to it requires only a one-line model change.
Written by AI from the articles below · updated Oct 16, 4:05 PM ET
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Developments
2 developments
- Oct 16, 3:45 PM ET · 2 articlesOpenRouter says Span-02 runs on its Decisions API with the same request format as other hosted decision modelsOpenRouter: Span-02 runs on the OpenRouter Decisions API
- Oct 16, 3:45 PM ET · 2 articlesOpenRouter adds Span-02 open-weight decision model from RespanOpenRouter: Respan releases Span-02, an open-weight decision model on OpenRouter
Article timeline
The articles in this story. Times are ET.
OpenRouter@OpenRouterOfficialSpan-02 runs on the OpenRouter Decisions APIAIOpenRouter says Span-02 uses the same request format as its other decision models. Switching to Span-02 requires only a one-line model change.
OpenRouter@OpenRouterOfficialSpan-02, an open-weight decision model, is now on OpenRouterAIOpenRouter says Span-02 from Respan AI is now available, an open-weight model that takes text and images and returns a choice, yes/no/unknown, or score with probabilities. Pricing is $0.01 per million input tokens, output is free, and the context window is 131K tokens.
OpenRouter@OpenRouterOfficialSpan-02 runs on the OpenRouter Decisions APIAIOpenRouter says Span-02 uses the same request format as its other decision models. Switching to Span-02 requires only a one-line model change.
OpenRouter@OpenRouterOfficialRespan releases Span-02, an open-weight decision model on OpenRouterAIRespan's Span-02 is now available on OpenRouter as an open-weight decision model that accepts text and images, with a 131K-token context window. It returns a choice, a yes/no/unknown answer, or a score, with probabilities, and costs $0.01 per million input tokens with free output.
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