respan

Respan: Span-01

respan/span-01

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

Span-01 (respan/span-01) is described in the OpenRouter catalog as a Respan model that accepts a text conversation span and returns a probability for each plain-language behavior the user defines. Its listed interface is text input to decision output, indicating a specialized scoring role rather than general text generation. The catalog does not supply benchmark results or an independent model card, so reported capabilities should be treated as unverified and assessed on representative workloads before adoption.[1]

Strengths

OpenRouter reports a focused task: scoring whether user-defined behaviors are present in a conversation span.[1]
The catalog says each behavior is specified in plain language and receives its own probability, which could make review criteria easier to inspect.[1]

Limitations

Only OpenRouter catalog data was supplied; no independent model card was available in this source pack, leaving architecture, training data, effective context limits, and safety practices unclear.[1]
No measured performance evidence was provided; accuracy, calibration, robustness, and latency need validation on representative workloads.[1]
The catalog lists no supported request parameters and no benchmark results, so configuration options and comparative performance remain unknown.[1]

Where to use it

Possible fit for configurable behavior detection across conversation excerpts, such as identifying whether stated review criteria are present.[1]
Potential support for triage or quality-review workflows that need decision outputs, provided deployment details and output semantics are confirmed.[1]

Sources

[1] OpenRouter catalog · Respan: Span-01Sources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Span-01 is a behavior scoring model from Respan. It reads a conversation span and returns, for each plain-language behavior you define, the probability that the behavior is present. It is...

Specifications

Model ID: respan/span-01
Canonical ID: respan/span-01-20260925
Creator: respan
Added to OpenRouter: 26.09.2026
Context length: 0
Modality: text->decisions
Input modalities: text
Output modalities: decisions
Token pricing: No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff: —
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	No measurement	—
Coding	No measurement	—
Agents	No measurement	—
Writing	No measurement	—
Reasoning	No measurement	—
Document analysis	No measurement	—
Vision	No measurement	—
Image generation	No measurement	—
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
Respan	0	—	—	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.