Independent

Apodex 1.1오픈소스

Specialized open-weight coding and reasoning model based on optimized architecture.

#698출시일: 2026년 7월 20일·Open Weights·72B
text128K ctx
API providers순위표
Intelligence
0.0 #698
Top 100% tier
Output speed
145 t/s
TTFT ~0.8s · ITL 6.9 ms/tok
Blended price (3:1)
$0.35 /1M
In $0.2/M · Out $0.8/M
Context
128K
≈ 328 A4 pages · max out 16384

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Apodex 1.1
Claude Mythos Preview (#1)
Average (68)
Coding (63)Mathematics (61)Hard Science (GPQA) (62)Agentic & Tool Use (63)Knowledge (MMLU) (65)Vision / Multimodal (25)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see 평가 방법.

API deployment

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Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
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출처별 점수

카테고리별 점수

벤치마크 결과

모델 상세 정보

출시일
2026년 7월 20일
파라미터 수
72B
라이선스
Open Weights
컨텍스트 창
131,072 tokens
입력 가격
$0.2/M
출력 가격
$0.8/M
출력 속도
145 t/s
첫 토큰 생성 시간

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

GitHub Markdown badge
[![LLMPodium Rank](https://llmpodium.com/badge/apodex-1-1/rank.svg)](https://llmpodium.com/models/apodex-1-1)
BibTeX
@misc{llmpodium2026apodex11,
  title = {Benchmark Analysis and Intelligence Evaluation of Apodex 1.1},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/apodex-1-1}
}

대체 모델

성능, 가격 및 벤치마크 점수를 기반으로 한 Apodex 1.1의 주요 대체 모델.

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