Sage 1.3.0 (Levanto Labs)

New

levanto-labs/sage-1.3.0

Compare the best decision models or read our decision model vs LLM guide.

Sage 1.3.0 is a typed decision model from Levanto Labs. It accepts text inputs and returns calibrated probabilities for yes/no, multiple-choice, or score questions.

  • decision model

At a glance

providerlevanto-labs
released—
context—
input / M—

Specifications

What the API gives you

Context window
— tokens
Max output
—
Input price
— / 1M tokens
Output price
— / 1M tokens
Cache read
—
Modalities
text → decision
Knowledge cutoff
—
Released
—

Measured evidence

Public benchmark record

JevBench
74.0 ± 0.92026-10-16

LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference.

Task evidence

How broad is the support?

Each status is exact to this model version and the selected task. Official release claims remain provisional.

  • 100% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing. 1 of 1 configured evaluation feeds currently have results.

  • 100% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing. 1 of 1 configured evaluation feeds currently have results.

Recommendation coverage

Where this model appears

  1. #1Best Decision Model for Agent Routing and Scoring

Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.