Google: Gemma 3 4B
- by google
- google/gemma-3-4b-it
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,...
What the numbers mean
- Context window131,072 tokens
- How much the model can read in one request, counting your prompt, any files and the conversation so far. That is about 98,000 words, or 197 pages.
- Max output16,384 tokens
- The longest single reply it can write: about 12,000 words.
- Input price$0.05 per million tokens
- What you pay for everything the model reads. A 1,000-word prompt costs less than a cent.
- Output price$0.1 per million tokens
- What you pay for everything the model writes. Output usually costs more than input. A 500-word answer costs less than a cent.
- Modalitiestext, image in, text out
- The kinds of content it accepts and the kinds it produces. A model that takes images in can read a screenshot; one that only puts text out cannot draw.
- Knowledge cutoff2024-08-31
- The last date its training data covers. It does not know about anything after that unless you put it in the prompt.
Supported parameters
The settings you can pass with a request. A model that lists tools can call functions; one that lists structured_outputs can be held to a JSON schema.
frequency_penaltylogit_biaslogprobsmax_tokensmin_p