Google: Gemma 4 26B A4B Google
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at a fraction of the compute cost. Supports multimodal input including text, images, and video (up to 60s at 1fps). Features a 256K token context window, native function calling, configurable thinking/reasoning mode, and structured output support. Released under Apache 2.0.
Architecture
- Modality: text+image+video->text
- InputModalities: image, text, video
- OutputModalities: text
- Tokenizer: Gemma
ContextAndLimits
- ContextLength: 262144 Tokens
- MaxResponseTokens: 262144 Tokens
- Moderation: Disabled
Pricing
- Prompt1KTokens: 1.3e-07 ₽
- Completion1KTokens: 4e-07 ₽
- InternalReasoning: ₽
- Request: ₽
- Image: ₽
- WebSearch: ₽