Fireworks AI vs Novita AI

Text, vision, audio, image, and embedding models, including recent releases such as Kimi K3, GLM 5.2, DeepSeek V4, MiniMax M3, and Qwen3.7 Plus

Industry-leading throughput and latency with fast inference engine

SFT, DPO, and reinforcement fine-tuning of models up to 1T+ parameters, from guided runs through writing your own trainer and RL loop

Drop-in replacement for closed-model APIs - change the base URL to migrate, with the same SFT data format for fine-tuning

H100, H200, B200, B300, and GB300 deployments with per-second billing and autoscaling

Async bulk inference jobs run at scale for less than standard serverless requests

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