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
Build apps and dashboards from prompts without coding
Integrates with Slack, Google Drive, Gmail, Notion, and custom data via MCP and OAuth
Maintains context and picks up where you left off
Runs tasks on a schedule automatically
Search and analyze data from PDFs, Google Drive, and Sheets in plain language
Built on enterprise-grade infrastructure with GDPR compliance
No onboarding or configuration required
Send scheduled Slack alerts and digests
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
No setup or configuration needed to start using
Remembers context and continues work without recaps
Learns tasks and runs them automatically on a schedule
Built by Prosus, one of the world's largest technology groups
Together AI
Toqan