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
Axe-core automated accessibility scans with violation counts and per-rule details
Page structure review including landmarks, headings and nested lists
Tab and focus order analysis with tabindex flag detection
Image and alt text inventory
WCAG 2.2 color contrast checking
Browser control for navigating dynamic content
Session-based auditing with action logging
Integration with Claude, opencode and other MCP clients
Local execution with no data transmission
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
Runs locally on your machine without requiring an account or API key
Works with any MCP client including Claude Desktop and opencode
Provides comprehensive accessibility auditing through axe-core integration
Includes explicit audit workflow guidance for consistent evaluation
Drives a real Chromium browser for accurate testing of dynamic content
Together AI