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Gemma 3 QAT 1B
About Gemma 3 QAT 1B
Gemma 3 QAT 1B is an AI model developed by Google DeepMind, in the language category, released in 2025, made available as an open-weights model with 1B params.
On this page you'll find Gemma 3 QAT 1B's full specifications. Review provider pricing and benchmark scores below, or compare Gemma 3 QAT 1B head-to-head with other language models.
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Run Gemma 3 QAT 1B locally — what to buy
Share this build ↗Sized to what Gemma 3 QAT 1B 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 Gemma 3 QAT 1B? ▶
Gemma 3 QAT 1B is an AI model developed by Google DeepMind, in the language category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Gemma 3 QAT 1B? ▶
Gemma 3 QAT 1B was developed by Google DeepMind and released in 2025.
Is Gemma 3 QAT 1B open source or proprietary? ▶
Gemma 3 QAT 1B 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 Gemma 3 QAT 1B cost? ▶
Pricing for Gemma 3 QAT 1B depends on the provider. See the providers table on this page for the latest API rates.
How does Gemma 3 QAT 1B perform on benchmarks? ▶
Benchmark scores for Gemma 3 QAT 1B 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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