Analysis Summary
Gemma 3 4B is Google's smallest Gemma 3 variant, offering vision support and a large context window at a very low price. Its reasoning, coding and agentic benchmarks are among the lowest in its generation, reflecting its compact size.
It is best suited to lightweight, high-volume tasks such as basic tagging, short-form content drafts, or simple image description where cost per call is the deciding factor. It is not appropriate for coding assistance or any task requiring careful reasoning.
Businesses running large-scale, low-complexity pipelines may find its price attractive, but should not expect quality comparable to larger models.
Assessed July 10, 2026
Editorial notes
Gemma 3 4B from Google is a small, low-cost vision model suited only to simple tasks given its limited reasoning and coding scores.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemma 3 4B from Google is a small, low-cost vision model suited only to simple tasks given its limited reasoning and coding scores.
How Google: Gemma 3 4B compares
Google: Gemma 3 4B ranks #386 of 393 AI models we track for overall intelligence, #154 of 157 for coding, #285 of 300 for agentic tasks. Its 131K-token context window is larger than 57% of the models we list. At $0.05 per million input tokens it is cheaper than 74% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 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 āPricing
| 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.
Full calculator with 612 models ā Price Calculator
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,..
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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 #154 of 157 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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: July 19, 2026 10:00 am