Sarvam 105B (high)
SarvamOpen WeightApache 2.0 · Uso Comercial
Descripción
Sarvam-105B is Sarvam AI's flagship open-source Mixture-of-Experts reasoning model built for complex reasoning, coding, and agentic workflows. It uses 128 sparse experts with Multi-head Latent Attention for efficient long-context inference and was pre-trained on 12 trillion tokens spanning code, mathematics, multilingual, and web data.
Fecha de lanzamiento
2026-03-06
Parámetros
105.0B
Longitud del contexto
131K
Modalidades
text
Radar de capacidades
12
general
26
coding
74
reasoning
45
science
50
agents
0
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Capacidad agéntica | 85 | 43.0 | LS |
| Ranking de codificación | 562 | 1.0 | AA |
| Ranking general | 437 | 29.0 | AA |
| Ciencia | 283 | 46.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
BrowseCompOpenAI (2025)
49.5%Aut.
Biology
GPQANYU + Cohere + Anthropic (2023)
78.7%Aut.
Code
SWE-Bench Verified
45.0%Aut.
Creativity
Arena-Hard v2
71.0%Aut.
Finance
MMLU
90.6%Aut.
MMLU-Pro
81.7%Aut.
General
IFEvalGoogle Research (2023)
84.8%Aut.
LiveCodeBench v6
71.7%Aut.
Math
MATH-500
98.6%Aut.
AIME 2025
96.7%Aut.
HMMT25
85.8%Aut.
HMMT 2025
85.8%Aut.
Beyond AIME
69.1%Aut.
Humanity's Last Exam
11.2%Aut.
Índices de evaluación AA
(Artificial Analysis)Intelligence Index(Artificial Analysis)11.9
Gpqa(NYU + Cohere + Anthropic (2023))0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))0.5
Ifbench(Google Research (2023))0.3
Scicode(UIUC + Argonne National Lab (2024))0.3
Hle(Center for AI Safety + Scale AI (2025))0.1
Terminalbench Hard(Stanford × Laude Institute (2026))0.0
Lcr(Artificial Analysis)0.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Legal90
Language90
Finance90
Healthcare90
Math80
Physics80
Structured Output80
Instruction Following80
Biology80
Chemistry80
Reasoning70
General70
Creativity70
Writing70
Search50
Frontend Development50
Agents50
Code50
Vision10
Precios
Precio de entrada$0.042 / 1M tokens
Precio de salida$0.17 / 1M tokens
Precio mixto (3:1)$0.074 / 1M tokens
Velocidad
Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
2 proveedores
Más barato: SarvamMás caro: NanoGPT
ProveedorEntradaSalida
1SarvamPRINCIPAL
$0.042
$0.17
2NanoGPT
$0.045
$0.177
Comparar precios entre diferentes proveedores de API para este modelo.