Gemma 3 4B
text+image->text
Gemma 3 4B is a general-purpose chat-tuned model. Available via Google. 131,072-token context. Budget pricing.
Gemma 3 4B is a multimodal AI model from Google. It costs $0.050 per million input tokens and $0.100 per million output tokens (blended $0.065/M), with a 131,072-token context window.
INPUT
$0.050/M
per million input tokens
OUTPUT
$0.100/M
per million output tokens
CONTEXT
131,072
tokens
What it is good at
- Solid general chat performance
- Reasonable instruction following
- Multimodal: handles images alongside text
Typical use cases
- General chat
- Drafting and rewriting
- Personal productivity
Benchmarks
No published benchmark scores tracked for this model yet. Frontier and reasoning models from major providers have scores; smaller models and inference-host variants typically inherit the underlying open-weights score.
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Frequently asked questions
How much does Gemma 3 4B cost?
Gemma 3 4B costs $0.050 per million input tokens and $0.100 per million output tokens, for a blended reference rate of $0.065 per million tokens.
What is Gemma 3 4B's context window?
Gemma 3 4B supports up to 131,072 tokens of context in a single request.
What is Gemma 3 4B best for?
Gemma 3 4B is well suited to Solid general chat performance, Reasonable instruction following and Multimodal: handles images alongside text.
Who makes Gemma 3 4B?
Gemma 3 4B is developed and served by Google.