Meshy alternatives
Curated alternatives to Meshy — and why you'd switch.
verl
ByteDance's RL post-training library (HybridFlow): PPO/GRPO dataflows in a few lines, FSDP/Megatron training with vLLM/SGLang rollouts, production-proven at frontier scale.
Why switchBoth run GRPO-style RL post-training with separate rollout and training engines; verl drives HybridFlow from a controller, Meshy drops the driver and coordinates services through queue readiness.
Full comparison →slime
THUDM's RL post-training framework behind the GLM releases — Megatron training plus SGLang rollouts with native arg pass-through, and pluggable reward, verifier and agentic data-generation workflows.
Why switchBoth pair SGLang rollouts with a separate trainer for RL post-training; slime trains on Megatron, Meshy on torchtitan with a service-per-role design.
Full comparison →labs-molt
Molt: NVIDIA's agentic-first RL framework in ~9K lines — Ray for placement, vLLM for rollout, AutoModel + FSDP2 for training — fully async, multimodal, multi-turn, scaling to 1T-class MoE.
Why switchBoth are newer fully-async RL frameworks; Molt uses Ray + vLLM + FSDP2, Meshy SGLang + torchtitan over TransferQueue.
Full comparison →