Todas las evaluaciones

VIALS-AA Benchmark

VIALS-AA is Artificial Analysis' implementation of Handshake AI's VIALS benchmark. It tests whether language models can interpret scientific images and answer questions about the evidence they contain.
Ver tareas de ejemplo

Publicación

Ver en arXiv

VIALS: A Benchmark for Visual Interpretation of Artifacts in the Life Sciences

Elaine Lau, Thanuka Udumulla, Lee Izhaki-Tavor, Francisco Guzmán, Nicholas Magazine y Jonas Mueller.

VIALS-AA Puntuación

Gemini 4 Carbon (High) obtiene la puntuación más alta en VIALS-AA Puntuación, con 64%, seguido de GPT-6 Astra (Max), con una puntuación de 63% y Claude Opus 5.5 (Max, Default Fallback), con una puntuación de 61%

Costo por tarea

GPT-6 Luna (Max) tiene el menor costo por tarea en VIALS-AA, con $0.02, seguido de GPT-6.1 Sol (Max), con $0.06 y Claude Haiku 5.5 (Max), con $0.07

Tokens de salida utilizados

GPT-6 Astra (Max) utiliza la menor cantidad de tokens de salida para ejecutar VIALS-AA, con 356k, seguido de GPT-6.1 Sol (Max), con 410k y GPT-6.1 Terra (Max), con 1.21M

Puntuación

VIALS-AA: Puntuación

Proporción de tareas respondidas correctamente en las tres repeticiones (pass^3)
No publicly available API

VIALS-AA: Puntuación vs. costo por tarea

Puntuación de VIALS-AA · Costo por tarea (USD) · Los valores se promedian entre las 3 repeticiones por tarea
Most attractive quadrant
Pareto line

VIALS-AA: Puntuación vs. Promedio de 3 vs. pass@3

Puntuación (pass^3), exactitud media de tres repeticiones y al menos una respuesta correcta (pass@3)
No publicly available API

Tareas de ejemplo

Dominio de artefactos
Blotting

Pregunta

In the 2D gel electrophoresis image, find the labeled spot 22 and estimate its kDa range by observing its position on the y-axis (MW in kDa). Provide your answer as a kDa range (e.g., 10-20 kDa).

Fuente: VIALS 2.0.0

Respuesta de referencia

40-50 kDa

Imagen original

Haz clic para ampliar

Fuente de la imagen · CC BY 4.0 (US)

Respuestas de los modelos

Una repetición guardada por modelo; el resultado aprobado/reprobado corresponde a esa repetición.

GPT-6.1 Sol (Max)

Repetición 1

Aprobado

Respuesta final

40-50 kDa

Respuesta enviada completa

Spot 22 is just below the 50 kDa level on the y-axis. ANSWER: 40-50 kDa

Explicación del evaluador

The candidate gives the same kDa range as the ground truth, so the numeric range matches exactly.

Aprobado

Respuesta final

40-50 kDa

Respuesta enviada completa

To determine the molecular weight (kDa) range of labeled spot 22 in the 2D gel electrophoresis image:

  1. Identification of Spot 22:

    • Looking at the acidic (left) side of the gel (around pH 4.8 - 5.1), the label '22' is located below spots 46 and 69, and to the left of spot 24.
    • An arrow under the label '22' points down and to the right toward the protein spot.
    • The protein spot is located at a vertical position just below the 50 kDa molecular weight marker.
  2. Observation of the y-axis (MW in kDa):

    • The molecular weight markers on the left y-axis are labeled at 220, 100, 70, 50, 40, 30, 20, and 10 kDa.
    • Spot 22 is located vertically between the 50 kDa marker line (above it) and the 40 kDa marker line (below it), migrating at approximately 47-49 kDa.
    • Thus, observing the position of spot 22 relative to the y-axis markers places it in the 40-50 kDa range.

ANSWER: 40-50 kDa

Explicación del evaluador

The candidate gives the same kDa range as the ground truth, with no numeric or formatting difference.

Grok 4.7 (Xhigh)

Repetición 1

Reprobado

Respuesta final

50-70 kDa

Respuesta enviada completa

Spot 22 is on the acidic side of the gel, just above the 50 kDa marker and well below the 70 kDa marker. Its label lies between those two y-axis ticks, and the short leader ends on the 50 kDa line, so the spot is at the low end of the 50–70 kDa interval (about 50–55 kDa), not in the 40–50 kDa interval.

ANSWER: 50-70 kDa

Explicación del evaluador

The ranges 50-70 kDa and 40-50 kDa do not match; numeric ranges must agree under the strict numeric rule.

Consulta ejemplos de trayectorias de los agentes en el artículo de lanzamiento.

Resultados por dominio

VIALS-AA: Puntuación por dominio

Proporción de tareas respondidas correctamente en las tres repeticiones por dominio de artefactos. Los colores se normalizan dentro de cada dominio entre todos los modelos evaluados.

Costo

VIALS-AA: costo por tarea

Costo promedio (USD) por tarea de ejecutar VIALS-AA, calculado a partir del uso de tokens y los precios de los modelos, con tasas representativas de aciertos de caché · Los valores se promedian entre las 3 repeticiones por tarea
No publicly available API

Uso de tokens

VIALS-AA: tokens de salida por tarea

Promedio de tokens de razonamiento y respuesta consumidos por tarea de VIALS-AA · Los valores se promedian entre las 3 repeticiones por tarea
No publicly available API

Velocidad

VIALS-AA: tiempo por tarea

Tiempo total estimado (minutos) por tarea: generación de respuesta y razonamiento más ejecución de herramientas · Los valores se promedian entre las 3 repeticiones por tarea · Lower is better
No publicly available API

Turnos

VIALS-AA: Turnos medios por tarea

Número promedio de turnos del modelo por tarea de VIALS-AA · Lower is better
No publicly available API

Uso de herramientas

VIALS-AA: Desglose de llamadas a herramientas

Llamadas promedio a herramientas por tarea de VIALS-AA, por tipo de herramienta
No publicly available API

Consulta la clasificación detallada del uso de herramientas en el artículo de lanzamiento.

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