Open Source
Quasar 438B오픈소스
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 평가 방법.
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 AI출처별 점수
카테고리별 점수
벤치마크 결과
모델 상세 정보
출시일
2026년 8월 1일
파라미터 수
438B (38B active)
라이선스
Open Weights
컨텍스트 창
131,072 tokens
입력 가격
$0.4/M
출력 가격
$1.6/M
출력 속도
95 t/s
첫 토큰 생성 시간
—
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}
}대체 모델
성능, 가격 및 벤치마크 점수를 기반으로 한 Quasar 438B의 주요 대체 모델.
