Gemma 4 31B
Gemma 4 31B Instruct is a dense multimodal model developed by Google DeepMind with 30.7 billion parameters. It supports both text and image inputs and provides text outputs, featuring a 256K token context window, configurable reasoning modes, native function calling, and multilingual support across 140+ languages. The model excels in coding, reasoning, and document understanding tasks.
What is Gemma 4 31B?
Gemma 4 31B is an AI model from Google that Agent Mag tracks for pricing, context window, modalities, benchmarks, and API compatibility. Builders can use this page to compare Gemma 4 31B against other models for agent workflows and production deployments.
Gemma 4 31B Instruct is a dense multimodal model developed by Google DeepMind with 30.7 billion parameters. It supports both text and image inputs and provides text outputs, featuring a 256K token context window, configurable reasoning modes, native function calling, and multilingual support across 140+ languages. The model excels in coding, reasoning, and document understanding tasks.
- Supports text and image inputs with text outputs
- 256K token context window
- Multilingual support across 140+ languages
- Excels in coding, reasoning, and document understanding tasks
- Configurable reasoning modes and native function calling
- Low performance on research-level physics reasoning (CritPt: 1.4%)
- Moderate hallucination rate in knowledge tasks (18.4%)
- Limited accuracy in economically valuable tasks (GDPval-AA: 30.9%)
- Relatively low omniscience accuracy (19.9%)
- Performance varies significantly across benchmarks
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