Google: Gemma 3 4B
Analysis Summary
Google Gemma 3 4B is a text-and-image model with a 128K context window and low listed prices of $0.05 per million input tokens and $0.10 per million output tokens. Its supplied intelligence and coding results are limited, so its main business appeal is economical access to image and text processing rather than complex reasoning or programming assistance.
It could be tested for simple classification, first-pass image descriptions, or short content tasks with clear instructions and review. The context length provides capacity for larger prompts, but there is no long-context benchmark here to demonstrate accurate handling of lengthy materials. No tool-use or function-calling support is listed, so it is not an obvious fit for connected business automation.
Use it for low-risk, well-defined tasks when cost is a priority. Escalate complicated analysis, client-ready writing, and code changes to a model with stronger measured performance and verified workflow capabilities.
Assessed September 23, 2026
Editorial notes
Gemma 3 4B is a low-cost text-and-image model with a 128K context window; its measured reasoning and coding results are limited, so it fits lightweight tasks better than complex client workflows.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Gemma 3 4B is a low-cost text-and-image model with a 128K context window; its measured reasoning and coding results are limited, so it fits lightweight tasks better than complex client workflows.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
How Google: Gemma 3 4B compares
Google: Gemma 3 4B ranks #412 of 435 AI models we track for overall intelligence, #194 of 198 for coding. Its 131K-token context window is larger than 51% of the models we list. At $0.05 per million input tokens it is cheaper than 72% 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.
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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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 #194 of 198 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.