Este modelo está obsoleto. Solo seguimos midiendo su rendimiento con la carga predeterminada de 10 mil tokens de entrada. Los resultados de otras cargas son históricos y ya no se actualizan.

Sarvam lanzó una versión más reciente, Sarvam 30B. Te sugerimos considerarla como alternativa.

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Open weights model

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Released mayo de 2025

Análisis de inteligencia, rendimiento y precio de Sarvam M (Reasoning, Based on Mistral Small 3.1)

Resumen del modelo

Inteligencia

5*
Artificial Analysis Intelligence Index

* Estimado

1 de 4 unidades para Inteligencia.

Velocidad

N/D
Tokens de salida por segundo
Valor desconocido de 4 unidades para Velocidad.
Entrada 0,00 US$Salida 0,00 US$
N/D
Costo por tarea del Intelligence Index
Valor desconocido de 4 unidades para Costo.

Verbosidad

N/D
Tokens de salida del Intelligence Index
Valor desconocido de 4 unidades para Verbosidad.

Artificial Analysis Intelligence Index · Higher is better

Velocidad

Output tokens per second · Higher is better
Weighted average cost (USD) per Intelligence Index task · Lower is better

Inteligencia

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.3.2 incorporates 10 evaluations: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1
No publicly available API
Estimate (independent evaluation forthcoming)

Artificial Analysis Intelligence Index: pesos abiertos vs. propietarios

Artificial Analysis Intelligence Index v4.3.2 incorporates 10 evaluations: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1
No publicly available API
Estimate (independent evaluation forthcoming)

Intelligence Index vs. costo por tarea del Intelligence Index

Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task
Most attractive quadrant
Pareto line

Intelligence Evaluations

Intelligence evaluations measured independently by Artificial Analysis · Higher is better
Ver más
No publicly available API

Agentic knowledge work, (Elo-500)/2000

Agentic SaaS workflows

Agentic real-world work tasks, (Elo-500)/2000

Reasoning & knowledge

Professional document reasoning, All-pass

Agentic coding & terminal use

Long context reasoning

SciCodeUnder review

Coding

CritPtUnder review

Physics reasoning

Agentic scientific research workflows in a terminal

Agentic software engineering in open-source repositories

Quantitative analysis on spreadsheets & documents

Legal agentic work, Hallucination-Gated All-Pass Rate

Agentic business operations

Kubernetes incident root-cause analysis

Medical long context reasoning

Visual reasoning

AA-Omniscience

AA-Omniscience Index

AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct.
No publicly available API

Openness Index

Artificial Analysis Openness Index: puntuación

El Openness Index mide la apertura de los modelos en una escala normalizada de 0 a 100 (cuanto más alta, mayor apertura)

Comparaciones del Intelligence Index

Intelligence Index vs. costo por tarea del Intelligence Index

Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task
Most attractive quadrant
Pareto line

Costo

Costo por tarea del Intelligence Index

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better

Costo de ejecutar el Artificial Analysis Intelligence Index

Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index

Precios: aciertos de caché, entrada y salida

Price (USD per M Tokens)

Ventana de contexto

Ventana de contexto

Context window: tokens limit · Higher is better
No publicly available API

Tamaño del modelo (solo modelos de pesos abiertos)

Tamaño del modelo: parámetros totales y activos

Comparison between total model parameters and parameters active during inference (billions)

Preguntas frecuentes

Preguntas comunes sobre Sarvam M (Reasoning, Based on Mistral Small 3.1)