Inference
Llama 3.2 1B Instruct
meta/llama-3.2-1b-instruct
Rega lan watesan
- Rega input saben 1 yuta token
- $0.01
- Rega output saben 1 yuta token
- $0.01
- Input sing di-cache saben 1 yuta token
- —
- Rega campuran saben 1 yuta (prakiraan kita)
- $0.01
- Jendhela konteks
- 16,000
- Token output maksimal
- 4,096
- Nampa
- Teks
- Ngasilake
- Teks
- Dirilis
- Jan 1, 2025
- Pungkasan dianyari
- Jan 1, 2025
- Watesan kawruh
- Dec 2023
- Bobot terbuka
- Ya
Run it on your own computer? → Run Locally
Ana rega sing klèru, utawa Panjenengan makili panyedhia sing péngin daftaré dibenerake utawa dibusak? Mangga kirim layang menyang ceo@uniholix.com. Kula bakal mangsuli sajroning 5 dina kerja.
Model sebanding sing paling murah
Model liyane sing ana regane, sing nampa paling ora input sing padha, ngasilake output sing padha, lan nduweni paling ora separo jendhela konteks iki, diurutake miturut rega campuran.
- Google Gemma 2Helicone$0.01 / $0.038.2K
- GPT OSS 20B (Greenference)Eden AI$0.009 / $0.045131.1K
- Llama 3.2 3B InstructInference$0.02 / $0.0216K
- PaddleOCR VLNovita AI$0.02 / $0.0216.4K
- Llama 3.1 8B (decentralized)NanoGPT$0.02 / $0.03128K
- Meta Llama 3.1 8B Instruct TurboHelicone$0.02 / $0.03128K
- Mistral NemoPioneer$0.02 / $0.03128K
- Llama 3.1 8b InstructNanoGPT$0.02 / $0.04131.1K
Model sing padha ing panyedhia liyane
Dicocogake miturut ID model katalog. Rega campuran paling murah dhisik.