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DataGemma
About DataGemma
DataGemma is an AI model developed by Google, in the language category, released in 2024, made available as an open-weights model with 27.2B params.
On this page you'll find DataGemma's full specifications. Review provider pricing and benchmark scores below, or compare DataGemma head-to-head with other language models.
Links
Run DataGemma locally — what to buy
Share this build ↗Sized to what DataGemma actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
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Frequently asked questions
What is DataGemma? ▶
DataGemma is an AI model developed by Google, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created DataGemma? ▶
DataGemma was developed by Google and released in 2024.
Is DataGemma open source or proprietary? ▶
DataGemma ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does DataGemma cost? ▶
Pricing for DataGemma depends on the provider. See the providers table on this page for the latest API rates.
How does DataGemma perform on benchmarks? ▶
Benchmark scores for DataGemma are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
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