Serverless inference with per-token pricing (pay for output, input, and cached tokens). Training pricing from $0.50 to $10.00 per 1M training tokens depending on model size and fine-tuning type. On-demand deployments at $0.134 to $0.334 per minute ($8 to $20 per hour) for various GPU types.
Key features
LLM trace logging with 40+ integrations
Automatic error detection and diagnostics
Ollie agent for code fix recommendations
Test Suites and 40+ LLM-as-a-judge evaluation metrics
Production dashboards and alerts for agents
Prompt playground and optimization
Agent Playground for local agent development
Cost intelligence for Claude Code and Codex tracking
Guided training runs
Configuration-led training
Custom training logic
Serverless inference
On-demand dedicated deployments
Reserved capacity
OpenAI compatible API
Model library with latest open models
Reinforcement learning support
Multi-region deployments
What makes it different
Truly open-source platform with enterprise-grade infrastructure
Traces appear almost instantly even at high volumes
Flexible hosting options including self-hosted, cloud, and custom deployments
Easy integration with just a few lines of code
Opik automatically turns trace data and eval results into code fixes
Drop-in replacement for closed-model APIs with cost savings of 50-75%
Instant production deployment from any training checkpoint in seconds
Optimized inference engine for industry-leading throughput and latency
Elastic and global RL inference scaling
Own the complete learning loop for specialized intelligence