Open Source
Quasar 438BAbierto
Massive Mixture-of-Experts open-weight model with 38B active parameters per token.
Intelligence
0.0 #700
Top 100% tier
Output speed
95 t/s
TTFT ~0.8s · ITL 10.5 ms/tok
Blended price (3:1)
$0.7 /1M
In $0.4/M · Out $1.6/M
Context
128K
≈ 328 A4 pages · max out 32768
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Quasar 438B
Claude Mythos Preview (#1)
Average (68)
Radar axes are approximated from category scores where direct benchmark measurements are missing — see Metodología.
API deployment
Compare hosts & latency
Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Groq
Cerebras
Together AI
DeepInfra
Fireworks AI
AWS Bedrock
Azure AIPuntuaciones por Fuente
Puntuaciones por Categoría
Resultados de Benchmarks
Detalles del Modelo
Fecha de Lanzamiento
1 ago 2026
Parámetros
438B (38B active)
Licencia
Open Weights
Ventana de Contexto
131,072 tokens
Precio de Entrada
$0.4/M
Precio de Salida
$1.6/M
Velocidad de Salida
95 t/s
Tiempo al Primer Token
—
Estimated monthly bill
Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...
Cite & embed
GitHub Markdown badge
[](https://llmpodium.com/models/quasar-438b)BibTeX
@misc{llmpodium2026quasar438b,
title = {Benchmark Analysis and Intelligence Evaluation of Quasar 438B},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/quasar-438b}
}Modelos alternativos
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