Google: Gemma 4 31B (batch)
Analysis Summary
Gemma 4 31B is Google's multimodal model for text, image, and video workflows. It provides a 262K context window, tool use, and function calling, enabling analysis of substantial source material and structured interactions with external systems. The pricing is accessible enough for content and media pipelines that would be costly on premium models.
It could serve campaign asset analysis, video or image summarisation, SEO enrichment, content drafting, and supervised workflow automation. No independent benchmark results are supplied for this batch variant, so its instruction-following precision and reasoning quality need to be measured on client examples. It is not the first choice for difficult coding or autonomous decisions without testing. Adopt it for multimodal, cost-sensitive workflows where human review and clear schemas are available.
Assessed September 1, 2026
Editorial notes
Gemma 4 31B combines vision, video input, a 262K context window, and function calling with accessible pricing. This batch variant has no separate benchmark data, so it should support supervised production tasks rather than high-stakes autonomous work.
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DFO Verdict
Gemma 4 31B combines vision, video input, a 262K context window, and function calling with accessible pricing. This batch variant has no separate benchmark data, so it should support supervised production tasks rather than high-stakes autonomous work.
How Google: Gemma 4 31B (batch) compares
Its 262K-token context window is larger than 72% of the models we list. At $0.39 per million input tokens it is cheaper than 42% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.39 | $0.000390 |
| Output | $0.97 | $0.000970 |
What would Google: Gemma 4 31B (batch) cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 751 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemma 4 31B (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemma 4 31B (batch)
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function..
Frequently asked questions about Google: Gemma 4 31B (batch)
How much does Google: Gemma 4 31B (batch) cost?
Google: Gemma 4 31B (batch) costs $0.39 per million input tokens and $0.97 per million output tokens.
What is the context window of Google: Gemma 4 31B (batch)?
Google: Gemma 4 31B (batch) has a context window of 262,144 tokens (262K).
What can Google: Gemma 4 31B (batch) do?
Google: Gemma 4 31B (batch) supports image/vision input, tool use, and function calling.
Who created Google: Gemma 4 31B (batch)?
Google: Gemma 4 31B (batch) is developed by Google and was released on April 2, 2026.