Open Source
Quasar 438BAberto
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 Metodologia.
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 AIPontuações por fonte
Pontuações por categoria
Resultados de benchmarks
Detalhes do modelo
Data de lançamento
1 de ago. de 2026
Parâmetros
438B (38B active)
Licença
Open Weights
Janela de contexto
131,072 tokens
Preço de entrada
$0.4/M
Preço de saída
$1.6/M
Velocidade de saída
95 t/s
Tempo até o primeiro 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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