FrontierThe story, in brief
Google speeds up Gemma 4 threefold with multi-token prediction
3x faster. Google just shipped multi-token prediction for Gemma 4—and open-source inference just got a lot more competitive.
The KeyNews take
Why it matters
Google's multi-token prediction technique represents a significant capability advancement for its open Gemma model family, directly improving inference efficiency and competitive positioning against proprietary models. For builders and operators, this means dramatically lower latency and compute costs for open-source deployments.
The key facts
5 to knowMulti-token prediction drafters released for Gemma 4
Text generation speed improvement: up to 3x
Architecture: auxiliary model suggests multiple tokens; main model validates in single pass
Open model family advancement
Inference optimization technique
Go to the source
The Decoderthe-decoder.com
Publisher excerpt: Google has released multi-token prediction drafters for its Gemma 4 open model family that speed up text generation by up to three times. A small auxiliary model suggests several tokens at once while the main model checks them in a single pass.