Respan
Respan: Span-02
respan/span-02
Span-02 is an open-weight decision model from Respan. It reads a state of text and images and answers the questions you define about it: picking one of several options, a yes/no/unknown call, or a score on a scale. It is suited for evaluation, guardrails, routing, and monitoring of LLM and agent outputs at scale. It is the successor to Span-01.
Input
$0.01
/ 1M tokens · Token reference
Output
$0
/ 1M tokens · Token reference
Context window
131.07K
tokens
Decisions output · Token reference fields do not establish an output-unit price.
Limits
Context
131,072
tokens
Max output
117,964
90% of the context window
Model facts
Author
Respan
Tokenizer
Other
Modality
Text + Image -> Decisions
Created
Oct 16, 2026
Publication status
Hugging Face: not mappedLicense: not publishedParameter count: not published
Modalities
Input · TextInput · ImageOutput · Decisions