MiniMax M3.1 Flash Now Post-Trainable on Together AI
The non-obvious shift here is that a frontier Chinese model can now be customised inside a US platform, with fine-tuning runs staying in the customer's own Python loop rather than a black-box pipeline. Teams building agents can adapt M3.1 Flash with custom reward signals and environments via SFT or RL. This makes MiniMax a direct alternative to open-weight models fine-tuned on Together, with the model served alongside Western options.
MiniMax's M3.1 Flash model is now available for post-training on Together AI. Users can run supervised fine-tuning (SFT) or reinforcement learning (RL) with their own data, rewards and environments. The training loop can be kept in the user's own Python code. The offering targets developers shaping the model for specific agentic workloads.
minimax m3.1 flash is now available for post-training on together ai
run sft or rl with your own data, rewards + environments, while keeping the training loop in your own python code
take m3.1 flash and shape it for the agentic workload you need https://t.co/0WHnc47hCY https://t.co/2be5CAQ5Li
