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Google

Gemma 3 12B

Open Gemma instruction model for efficient chat and self-hosted deployments

Model facts

Context window
131K tokens
Maximum output
16K tokens
Cheapest paid input
$0.05 per 1M tokens
Cheapest paid output
$0.1 per 1M tokens
Open weights
yes
Providers
8

Capabilities and modalities

tool calling, structured output, attachments, temperature control, open weights, text, image, pdf.

Local hardware estimate

At 4K context: Q4_K_M 8.4 GiB, Q8_0 14.1 GiB, F16 24.8 GiB working memory.

Parameters
12.2 billion
Architecture
gemma3
Model license
gemma

Planning estimate adapted from the MIT-licensed whichllm estimator using metadata from Hugging Face; not a vendor minimum requirement.

Artificial Analysis benchmarks

Compare this model on the full LLM benchmark leaderboard.

ConfigurationAAICodingMathOutput tokens/s
default5.55.818.3not measured

Observed price history

  • 2026-08-24: $0.05 input / $0.1 output per 1M tokens

API providers

  • Nvidia — model id google/gemma-3-12b-it; free input / free output per 1M tokens; provider documentation
  • Amazon Bedrock (Google) — model id google.gemma-3-12b-it; $0.05 input / $0.1 output per 1M tokens; provider documentation
  • Helicone (Google) — model id gemma-3-12b-it; $0.05 input / $0.1 output per 1M tokens; provider documentation
  • NovitaAI — model id google/gemma-3-12b-it; $0.05 input / $0.1 output per 1M tokens; provider documentation
  • OpenRouter — model id google/gemma-3-12b-it; $0.05 input / $0.15 output per 1M tokens; provider documentation
  • Kilo Gateway (Google) — model id google/gemma-3-12b-it; $0.05 input / $0.15 output per 1M tokens; provider documentation
  • NanoGPT — model id unsloth/gemma-3-12b-it; $0.272 input / $0.272 output per 1M tokens; provider documentation
  • Neon — model id gemma-3-12b; $0.15 input / $0.5 output per 1M tokens; provider documentation