Google DeepMind

gemma4:cloud

Low usage

Gemma 4 is Google DeepMind's open model family, built to deliver strong performance at every size class. The models handle text and image input natively, reason through configurable thinking modes, and support native function-calling for agentic and coding workflows. The cloud tag runs the 31B dense variant on Ollama's hosted infrastructure.

visiontoolsthinkingcloudCommunity r/GeminiAI

Context window256K

ModalitiesText, Image

Size≤31B

Pulls23.6M

Tags50

Updatedyesterday

ollama run gemma4:31b-cloud

Cloud tags

Tag	Parameters	Architecture	Context	Modalities
gemma4:cloud (default)	30.7B	Dense	256K	Text, Image
gemma4:31b-cloud	30.7B	Dense	256K	Text, Image

Both tags run the same 31B dense model on Ollama's hosted infrastructure — :cloud is just an alias for :31b-cloud. Gemma 4 also ships smaller sizes (E2B, E4B, 12B, 26B) for local, on-device use, but those aren't available as cloud tags.

Benchmark highlights — 31B, the model behind both cloud tags

Benchmark	Score
MMLU Pro	85.2%
LiveCodeBench v6	80.0%
GPQA Diamond	84.3%
MMMU Pro (vision)	76.9%

Best practices

Sampling — temperature 1.0, top_p 0.95, top_k 64 across all use cases.
Thinking mode — toggled by including a control token at the start of the system prompt; Ollama handles the chat template automatically.
Multi-turn chats — only the final response should be kept in history; prior reasoning traces should not be replayed into the next turn.
Multimodal prompts — place image input before text for best results.

Specs sourced from ollama.com/library/gemma4 · Retrieved 2026-08-29