Try the Jev Model by TypeSafe in a playground or via API
Stage
Startup
Startup
Founded
2024
2026
Based in
US
Not given
Pricing model
Paid
Freemium
Pricing
Pay-as-you-go pricing for serverless inference charged per token and for on-demand deployments charged per GPU usage time. New users receive free credits. Text models range from $0.05 to $1.5 per 1M tokens (input and output), including Llama-3.2-1B-Instruct at $0.06/1M tokens, Meta-Llama-3.1-8B-Inst
Free: 20 welcome credits for new accounts. Token packs: 15M input tokens at $0.600/1M ($9 one-time), 75M tokens at $0.520/1M ($39 one-time), 200M tokens at $0.380/1M ($76 one-time), 600M tokens at $0.283/1M ($170 one-time). Annual subscriptions available at 50% discount. Output tokens are free.
Key features
Text generation with multiple LLM models including Llama, Qwen, and DeepSeek
Embedding and reranking models for RAG applications
Text-to-image and text-to-video generation
Voice generation with ASR/TTS models
Single line of code integration
Agent application with ultra-low latency
Chat2DB application with real-time responsiveness
Inference acceleration capability
Competitive pricing with reduced costs
Yes/No probability questions
Choice questions with confidence
Score questions with rating levels
Browser-based playground
RESTful API with TypeSafe-compatible format
Batch processing tools
Support for images and video (Jev-Omni variant)
Multiple language support
Calibrated confidence scores
Parallel question processing
What makes it different
Out-of-the-box inference acceleration capability
Fast model updates and comprehensive model selection
Single line of code integration with no deployment complexity
Ultra-low latency for responsive applications
Free credits for new users to get started
System One model optimized for structured decisions, not text generation
Calibrated probabilities and confidence scores built into every response type
Fast responses at approximately 0.5 seconds
Independently operated by Jev AI, separate from TypeSafe
Jev AI