Novita AI vs Omega Gradient

One endpoint for 200+ text, image, audio and video models, callable with existing OpenAI client libraries

Qwen, DeepSeek, GLM, Kimi, MiniMax, Llama, Gemma and Nemotron families served serverlessly with per-token billing

Cache-read pricing published separately from standard input pricing on most chat models

Per-second serverless GPU jobs, on-demand instances, and bare-metal clusters with H100 and H200 hardware

Dedicated deployments for workloads that need reserved capacity rather than shared serverless throughput

Isolated runtimes for agent workloads that call models and execute tools, billed per second

Catalog of GPU listings from multiple suppliers, deployable as containers, VMs, or bare metal, with per-listing region, fabric (PCIe, SXM, NVLink), and boot-time details

Request-based sourcing for reserved capacity, matching workload requirements against a tracked supplier network with responses targeted within 24 hours

Monitors suppliers and public price sources across regions, publishing a cloud GPU price index and supplier pricing reports for benchmarking before commitment

Listings show a single all-in hourly price with per-GPU breakdowns; billing is prepaid from credits and accrues per hour only while an instance exists

Sources capacity from many independent suppliers rather than operating its own data centers, comparing options across price, region, and hardware configuration