Tinker
A research API for fine-tuning language models
A platform and API for post-training and fine-tuning language models, providing managed training infrastructure and programmatic control for custom model updates.
Recent stories
2 linked stories
releasePRIMARY2026-10-09
Tinker cuts 128k and 256k context reinforcement learning costs by up to 70%
Tinker removed extra prefill charges for 128k and 256k contexts, cutting long-context reinforcement learning costs by up to 70%. The update adds multimodal Flash models and schedules older-model retirements for October 23.
releaseSECONDARY2026-05-27
Trajectory launches continual-learning platform with off-policy SDPO
Trajectory launched a platform that turns agent traces and user corrections into post-deployment model updates instead of prompt-only fixes. Baseten and Tinker described live A/B post-training, 397B-model deployment work, and an off-policy recipe for stabilizing the loop.