Google: Gemma 4 31B (batch) · Google
Google Gemma 4 31B Instruct is a 30.7B dense multimodal model that processes text and images. Features 256K token context window and configurable thinking mode for deep analysis.
About Google: Gemma 4 31B (batch)
Google Gemma 4 31B Instruct is a 30.7B dense multimodal model that processes text and images. Features 256K token context window and configurable thinking mode for deep analysis.
Where it shines: Advanced multimodal processing · Extended 256K token context · Configurable reasoning mode.
How to use Google: Gemma 4 31B (batch)
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Type what you want in the box above — or upload the file if the tool asks for one.
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Click the main button. Wait 2-30 seconds depending on the model and input size.
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Download the result or share the direct link. No watermark, ready to use.
Frequently asked questions
How much does it cost to use Google: Gemma 4 31B (batch)?
Google: Gemma 4 31B (batch) is a Pro model: it costs 10 tokens per use (~$0.05 real cost for us). You need a Pro plan ($9/month → 15,000 tokens) or a one-shot pack. If you already have tokens in the free account, you can also spend them directly.
How many uses of Google: Gemma 4 31B (batch) are included in the Pro plan?
Pro ($9/month) gives you 15,000 recurring tokens. At 10 tokens per use of Google: Gemma 4 31B (batch), that's ~1,500 full uses per cycle. If you run out, one-shot packs (5,000 / 25,000 / 80,000 tokens) add to the balance without expiring before one year.
What makes Google: Gemma 4 31B (batch) special?
Google trains border models in chat (Gemini), image (Image), video (Veo) and music (Lyria), with an emphasis on multimodality and STEM reasoning. Its specific strengths are: advanced multimodal processing, context-rich 256k tokens and configurable reasoning mode. It accepts images as input (multimodal) as well as text — useful for describing captures, reading graphs or solving problems from a photo.
How fast does Google respond: Gemma 4 31B (batch)?
Google: Gemma 4 31B (batch) has a balanced speed: 5-15 seconds per response — neither the fastest nor the slowest in the catalog. The actual time also depends on the length of the prompt and the load of the datacenter — models with huge context take longer when you enter very long texts.
How do I use Google: Gemma 4 31B (batch) in ia.gratis?
You can use Google: Gemma 4 31B (batch) from /chat/ by selecting Google: Gemma 4 31B (batch) in the picker, or via the REST API with `model=gemma-4-31b-it-batch` in the POST body. Quick summary: Google's multimodal model Gemma 4 31B with 256K tokens and reasoning mode. The internal model identifier is `gemma-4-31b-it-batch` — useful when integrating by API.