Gemma 4 31B

Gemma 4 31B is Google DeepMind's 30.7 billion parameter dense multimodal model — not a mixture-of-experts design — accepting text and image input and returning text. It offers a 262,144-token context with a 32,768-token maximum output, a configurable thinking mode, native function calling, and multilingual coverage across more than 140 languages, all under an Apache 2.0 license. Its dense architecture, including a roughly 550M-parameter vision encoder, makes it the most hardware-frugal model in the library while still competing with far larger frontier systems.

Features

On-demand Deployments

On-demand deployments let you run Gemma 4 31B on dedicated GPUs with Sciforium's high-performance serving stack, with high reliability and no rate limits.

Docs

Dense Multimodal Efficiency

31B dense parameters run on modest hardware while handling text and image input with configurable reasoning depth.

Docs
DeepSeek V4 Flash
DeepSeek V4 Pro
Gemma 4 31B
GLM 5.2
Kimi K2.6
Kimi K2.7 Code
Kimi K3
MiniMax H3
MiniMax M3
Qwen3.5
Qwen3.8
DeepSeek V4 Flash
DeepSeek V4 Pro
Gemma 4 31B
GLM 5.2
Kimi K2.6
Kimi K2.7 Code
Kimi K3
MiniMax H3
MiniMax M3
Qwen3.5
Qwen3.8