Fireworks AI vs Lyceum

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

API access to open-source models with pay-per-token pricing.

Reserved GPU capacity for production models ensuring low latency and high availability.

Run training jobs on GPUs without the need for infrastructure management.

Full root access to customizable GPU instances ready in seconds.

Support for configurations from 8 to 8,000 GPUs with InfiniBand connectivity.