Google: Gemma 3 12B

Google: Gemma 3 12B

google · Released Mar 13, 2025
Intelligence #294 / 756
33.6 our score
Speed #324 / 335
26.6 tok/s
Input Price #189 / 798
$0.050 per 1M tokens
Output Price #192 / 798
$0.150 per 1M tokens
Context #432 / 798
131,072 tokens

Analysis Summary

Gemma 3 12B is Google's paid API variant with text and image input, a 131K context window, and listed tool and function-calling support. At $0.05 per million input tokens and $0.15 per million output tokens, it is positioned for economical automation. The supplied intelligence and coding measurements are limited, so the model is not intended for demanding reasoning or software engineering.

It can support image-aware classification, document extraction, SEO metadata, routine rewriting, and simple structured API workflows. The large context window helps with longer documents, but low measured agentic capability means autonomous execution should remain constrained and supervised. Choose it for inexpensive multimodal volume traffic and basic tool-connected tasks. Use a more capable model for complex content strategy, coding agents, and high-consequence decisions.

Assessed September 7, 2026

Editorial notes

Gemma 3 12B provides vision, a 131K context window, and tool and function calling at very low cost. Its measured reasoning and coding capability is limited, so it is best for simple multimodal workflows with human review.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

DFO Verdict

Gemma 3 12B provides vision, a 131K context window, and tool and function calling at very low cost. Its measured reasoning and coding capability is limited, so it is best for simple multimodal workflows with human review.

#294 of 756 overall

How Google: Gemma 3 12B compares

Google: Gemma 3 12B ranks #438 of 443 AI models we track for overall intelligence, #197 of 210 for coding, #191 of 192 for agentic tasks. Its 131K-token context window is larger than 46% of the models we list. At $0.05 per million input tokens it is cheaper than 76% of comparable models.

Position in the field
Intelligence: smarter than 61% of models #294
Speed: faster than 3% of models #324
Price: cheaper than 76% of models #189
Context: larger than 46% of models #432
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
Google: Gemma 3 12B $0.05 in $0.15 out
OpenAI: GPT-6 Astra $10.00 in $50.00 out
Anthropic: Claude Fable 5.1 $10.00 in $50.00 out
Claude Opus 5 $5.00 in $25.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens
Google: Gemma 3 12B 131K

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Intelligence0.1Technical0.7Value8Content4.5
Performance profile

Strongest on value. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.

Compare shapes side-by-side →

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.05 $0.000050
Output $0.15 $0.000150

What would Google: Gemma 3 12B cost your business?

Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.

A website chatbot handling around 100 customer conversations a day, a few short messages each.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

$0/mo Google: Gemma 3 12B

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DFO AI AUTOMATION

These numbers get smaller with the right architecture.

We route routine calls to cheap models and save Google: Gemma 3 12B for the hard ones. Most clients cut their estimate by 60-80%.

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About Google: Gemma 3 12B

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,..

Frequently asked questions about Google: Gemma 3 12B

How much does Google: Gemma 3 12B cost?

Google: Gemma 3 12B costs $0.05 per million input tokens and $0.15 per million output tokens.

What is the context window of Google: Gemma 3 12B?

Google: Gemma 3 12B has a context window of 131,072 tokens (131K).

Is Google: Gemma 3 12B good for coding?

On our coding benchmark index, Google: Gemma 3 12B ranks #197 of 210 models, placing it in the broader range of the field for code generation and debugging.

What can Google: Gemma 3 12B do?

Google: Gemma 3 12B supports image/vision input, tool use, and function calling.

Who created Google: Gemma 3 12B?

Google: Gemma 3 12B is developed by Google and was released on March 13, 2025.

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