Google: Gemma 3 4B
Analysis Summary
Gemma 3 4B is Google's compact multimodal model with text and image input, a 131K context window, and low listed token pricing. Its small footprint makes it suitable for simple visual extraction, categorisation, routing, and short-form transformations where latency and volume matter more than depth.
For business workflows, it can handle routine SEO metadata generation, content tagging, document triage, and basic image understanding. The measured reasoning and coding capability is limited, so it should not manage complex research, autonomous agents, software engineering, or high-stakes client-facing copy without strong validation. Its long context is useful on paper, but does not compensate for weaker reasoning quality.
Adopt it for inexpensive, repeatable preprocessing and simple multimodal tasks. Use a stronger model for strategy, nuanced writing, complex instruction following, and decisions that require reliable multi-step reasoning.
Assessed August 9, 2026
Editorial notes
Gemma 3 4B is a low-cost multimodal model suited to lightweight classification, extraction, and image-aware automation. Its limited reasoning and coding capability restrict it to routine workflows.
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DFO Verdict
Gemma 3 4B is a low-cost multimodal model suited to lightweight classification, extraction, and image-aware automation. Its limited reasoning and coding capability restrict it to routine workflows.
How Google: Gemma 3 4B compares
Google: Gemma 3 4B ranks #424 of 432 AI models we track for overall intelligence, #202 of 205 for coding. Its 131K-token context window is larger than 49% of the models we list. At $0.05 per million input tokens it is cheaper than 76% 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 intelligence 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 | $0.05 | $0.000050 |
| Output | $0.10 | $0.000100 |
What would Google: Gemma 3 4B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemma 3 4B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemma 3 4B
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,..
Frequently asked questions about Google: Gemma 3 4B
How much does Google: Gemma 3 4B cost?
Google: Gemma 3 4B costs $0.05 per million input tokens and $0.10 per million output tokens.
What is the context window of Google: Gemma 3 4B?
Google: Gemma 3 4B has a context window of 131,072 tokens (131K).
Is Google: Gemma 3 4B good for coding?
On our coding benchmark index, Google: Gemma 3 4B ranks #202 of 205 models, placing it in the broader range of the field for code generation and debugging.
What can Google: Gemma 3 4B do?
Google: Gemma 3 4B supports image/vision input.
Who created Google: Gemma 3 4B?
Google: Gemma 3 4B is developed by Google and was released on March 13, 2025.