Gemma 3 12B
gemma-3-12b-itGemma 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,... Built by Google.
Prices updated
Input price
$0.05
per 1M tokens · Standard
Output price
$0.15
per 1M tokens · Standard
Input limit
131K
tokens
Output limit
16K
tokens
Input formats
Output formats
Gemma 3 12B price history
2 price records since 9/25/2026
Gemma 3 12B cost calculator
$1.75/month
Standard pricing
Overview
What is Gemma 3 12B?
Gemma 3 12B is a text & reasoning and vision model from Google. 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,... Its 131K context window and $0.05 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
Gemma 3 12B benchmarks & speed
How Gemma 3 12B scores on standardized evaluations, and where it lands among every model we track.
3.8
Intelligence Index
Reasoning
GPQA Diamond
34.9%
Graduate-level scientific reasoning · top 97%
HLE
4.2%
Humanity's Last Exam · top 88%
Coding
SciCode
16.4%
Python for scientific computing · top 100%
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Gemma 3 12B pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.05
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
Gemma 3 12B Tools
Tools available when using Gemma 3 12B through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Low input cost at $0.05 per million tokens suits high-volume workloads.
- A 131K context window covers most focused application workflows.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- The 131K context window is smaller than several long-context alternatives.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider