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Google: Gemma 3 12B

google/gemma-3-12b-it

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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, including structured outputs and function calling. Gemma 3 12B is the second largest in the family of Gemma 3 models after Gemma 3 27B

Modalities
In / Out Price
$0.05 / $0.15per 1M
Context
131K
Released
Mar 13, 2025
Knowledge Cutoff
Aug 2024
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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Google: Gemma 3 12B (Artificial Analysis)
SourceBenchmarkScore
Artificial AnalysisGemma 3 12B Instruct Intelligence Index3.8
Artificial AnalysisGemma 3 12B Instruct Coding Index5.8
Artificial AnalysisGemma 3 12B Instruct Math Index18.3
Artificial AnalysisGemma 3 12B Instruct Agentic Index0.1
Artificial AnalysisGemma 3 12B Instruct GPQA Diamond34.9%
Artificial AnalysisGemma 3 12B Instruct HLE4.2%
Artificial AnalysisGemma 3 12B Instruct IFBench36.7%
Artificial AnalysisGemma 3 12B Instruct τ²-Bench Telecom10.8%
Artificial AnalysisGemma 3 12B Instruct AA-LCR8.3%
Artificial AnalysisGemma 3 12B Instruct τ-Bench Banking0.8%
Artificial AnalysisGemma 3 12B Instruct GDPval-AA0.0%
Artificial AnalysisGemma 3 12B Instruct CritPt0.0%
Artificial AnalysisGemma 3 12B Instruct LiveCodeBench13.7%
Artificial AnalysisGemma 3 12B Instruct SciCode16.4%
Artificial AnalysisGemma 3 12B Instruct Terminal-Bench Hard0.8%
Artificial AnalysisGemma 3 12B Instruct Terminal-Bench 4.00.0%
Artificial AnalysisGemma 3 12B Instruct Terminal-Bench 2.10.0%
Artificial AnalysisGemma 3 12B Instruct MMLU-Pro59.5%
Artificial AnalysisGemma 3 12B Instruct AA-Omniscience Accuracy10.3%
Artificial AnalysisGemma 3 12B Instruct AA-Omniscience Non-Hallucination Rate2.6%
Artificial AnalysisGemma 3 12B Instruct AIME 202518.3%
Artificial AnalysisGemma 3 12B Instruct AIME22.0%
Artificial AnalysisGemma 3 12B Instruct MATH-50085.3%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Not currently available through EU in-region routing. In-region routing docs

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Frequently asked questions

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, including structured outputs and function calling. Gemma 3 12B is the second largest in the family of Gemma 3 models after Gemma 3 27B

Gemma 3 12B costs $0.05/M input tokens and $0.15/M output tokens.

Gemma 3 12B has a 131,072 token context window. It supports up to 16,384 completion tokens.

Yes. Gemma 3 12B accepts tools and tool_choice for function calling on 1 of the 2 providers serving it, and requests that send tools are routed to those providers. It also supports structured outputs via a JSON schema in response_format.

Gemma 3 12B accepts text and images as input and returns text.

Gemma 3 12B is served by 2 providers on OpenRouter: DeepInfra and NextBit. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

Gemma 3 12B was released on March 13, 2025. Its knowledge cutoff is August 31, 2024.