Fireworks AI vs Vast.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

Prices set by supply and demand across the platform with no list prices or hidden fees

GPU Cloud for full control, Serverless for zero-ops inference, Clusters for large-scale training

CLI, Python SDK, and REST API for programmatic GPU provisioning, installed together via a single package

API-native workflow intended for AI agents to search, procure, and release compute autonomously

Prebuilt templates for popular open-source models, plus custom templates any GPU can run with one click

Scale from $5 to 20,000 GPUs across 40+ data centers without contracts or minimums