Independent

Apodex 1.1Terbuka

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

#698dirilis 20 Jul 2026·Open Weights·72B
text128K ctx
API providersPeringkat
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 Metodologi.

API deployment

Compare hosts & latency

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

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Skor per sumber

Skor per kategori

Hasil benchmark

Detail model

Tanggal rilis
20 Jul 2026
Parameter
72B
Lisensi
Open Weights
Jendela konteks
131,072 tokens
Harga input
$0.2/M
Harga output
$0.8/M
Kecepatan output
145 t/s
Waktu ke token pertama

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}
}

Model Alternatif

Alternatif terdekat untuk Apodex 1.1 berdasarkan kemampuan, harga, dan skor benchmark.

0 / 4