Model Terminal
Gemma 4 26B-A4B Instruct (MoE)
Open-weight multimodal instruction-tuned model from Google DeepMind, built on a Mixture-of-Experts architecture with ~25.2B total parameters and ~3.8B active per token, designed for long-context reasoning, vision-language tasks, function calling, and tool-using agents. Source: supabase.
Value score
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Context
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tokens
Max output
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tokens
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Capability radar
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Identity
- Developer
- Hugging Face
- Openness
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- Modalities
- Image-text-to-text
- Release
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- Knowledge cutoff
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- API docs
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Pricing
- Input / 1M
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- Output / 1M
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- Speed
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