Serverless inference with pay-per-use token pricing ($0.0015 to $4.50 per 1M tokens for chat/vision models). Provisioned throughput with reserved PTUs for committed capacity. Dedicated GPU endpoints at $5.49-$8.99 per hour. Fine-tuning from $0.34-$40 per 1M tokens. GPU clusters at $1.99-$9.99 per GP
Not given
Key features
GPU clusters at scale with autoscaling
Voice agent infrastructure with sub-second latency
Comprehensive model library with 25+ regions
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
What makes it different
2x faster inference powered by cutting-edge research optimization
60% lower cost with workload-specific optimization
90% faster pre-training with Together Kernel Collection
Research-optimized infrastructure with proprietary kernels
Single unified API across multiple model providers
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