Fireworks AI vs Mistral 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

Access to latest models including Mistral 3, Small 4, Medium 3.5, and specialized models like Codestral and Voxtral TTS

Unified agent for long-horizon productivity and coding tasks, available on web, mobile, CLI, and IDE

Complete AI development environment with API playground, agent orchestration, and deployment tools

Train, align, and evaluate custom AI models with enterprise domain adaptation

Frontier-scale infrastructure for training and inference with dedicated GPU clusters

Leading open-weight models including Mistral 7B, Mixtral 8x7B, and Mistral Nemo under Apache 2.0