From the source
Today we are announcing four updates to Tinker No more waitlist New reasoning model: Kimi K2 Thinking New inference interface that is compatible with the OpenAI API Vision input support with Qwen3-VL General availability The waitlist is over!
Everybody can use Tinker now; sign up here to get started.
See the Tinker homepage for available models and pricing, and check out the Tinker cookbook for code examples.
More reasoning with Kimi K2 Thinking Users can now fine-tune Kimi K2 Thinking on Tinker.
With a trillion parameters, Kimi K2 is the largest model in our lineup so far.
It is built for long chains of reasoning and tool use.
OpenAI API-compatible sampling Tinker has a standard function for inference: prompt = types .
ModelInput . from_ints ( tokenizer . encode ( " The capital of France is " ,)) params = types .
SamplingParams ( max_tokens = 20 , temperature = 0.0 , stop = [ " \n " ]) future = sampling_client . sample ( prompt = prompt , sampling_params = params ) With this release, we have added OpenAI API-compatible scaffolding for quickly sampling from a model by specifying a path, even while it’s still training.
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