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Google DeepMind's open-weights 30.7B dense multimodal model with a 256K-token context window, optional chain-of-thought thinking, and native function calling — instruction-tuned for complex, long-context, and multilingual tasks.
Google DeepMind's instruction-tuned Mixture-of-Experts model with 25.2B total parameters and only 3.8B active per token, delivering high-tier reasoning and vision understanding across a 256K-token context window — available as open weights under Apache 2.0.
Values aggregated across the family’s variants: any variant supporting a capability resolves the family to Supported; flag-driven support resolves to Optional; only when every variant explicitly denies a capability does the family render as Not supported. 14 of 14 capabilities have variant data so far.