What is the IQ of gemma-4-12b?

gemma-4-12b has an estimated IQ of 95, which ranks #137 out of 164 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.

What is the EQ of gemma-4-12b?

gemma-4-12b has an estimated EQ of 104. EQ measures emotional reasoning — how well a model reads and responds to emotional context — and is scored separately from IQ.

How much does gemma-4-12b cost?

gemma-4-12b costs $0.10 per million input tokens and $0.30 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $0.1797 per million input-plus-output tokens.

Is gemma-4-12b open source?

Yes — gemma-4-12b is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.

When was gemma-4-12b released?

gemma-4-12b was publicly released on June 3, 2026.

How large is the context window of gemma-4-12b?

gemma-4-12b supports a context window of 256,000 tokens — the amount of text it can consider in a single request.

How fast is gemma-4-12b?

In independent measurements, gemma-4-12b generates about 111 tokens per second, with a typical response time of about 25 seconds.

Google

gemma-4-12b

Public AI IQ model profile with source-backed benchmark results and derived ranking context.

IQ

95

EQ

104

Effective Cost

$0.1797

IQ Rank

#137

gemma-4-12b API pricing — full price table, workload cost examples, and cheaper alternatives.

Release and Capabilities

Public release	2026-06-03
Context window	256,000 tokens

Measured Coverage and Estimates

Gemma 4 12b has 9 of 39 tracked IQ benchmark inputs across 3 of 7 dimensions. Raw benchmark tables contain source-backed results only. Derived IQ combines all six dimensions using the shared scoring methodology, including estimates where direct coverage is incomplete.

Among dimensions with direct benchmark coverage, this profile's highest estimated scores are Academic Reasoning (IQ 110) and Reliability (IQ 107). These dimension estimates can include statistical adjustments or predecessor priors; they are not raw benchmark percentages or claims of real-world task success.

Benchmark versions, evaluation harnesses, and coverage affect comparisons; a missing result is not a score of zero. See the scoring methodology for estimation and uncertainty limits.

IQ Dimensions

Dimension	IQ	Coverage
Abstract Reasoning	88	0/5
Mathematical Reasoning	87	0/5
Academic Reasoning	110	5/6
Programmatic Reasoning	92	0/6
Computer Use	90	0/5
Reliability	107	3/6
Knowledge Work	91	1/6

Benchmark Results

Benchmark	Score	Dimension
AA Long Context Reasoning v1.1	63.6667	Reliability
AA Omniscience	-52.7167	Reliability
CritPt	0	Academic Reasoning
GDPval-AA v2.1 normalized score	0	Knowledge Work
GPQA Diamond	75.2525	Academic Reasoning
Humanity's Last Exam	15.6627	Academic Reasoning
IFBench	73.5374	Reliability
MMMU-Pro	69.6532	Academic Reasoning
SciCode	38	Academic Reasoning

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Frequently Asked Questions

What is the IQ of gemma-4-12b?: gemma-4-12b has an estimated IQ of 95, which ranks #137 out of 164 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
What is the EQ of gemma-4-12b?: gemma-4-12b has an estimated EQ of 104. EQ measures emotional reasoning — how well a model reads and responds to emotional context — and is scored separately from IQ.
How much does gemma-4-12b cost?: gemma-4-12b costs $0.10 per million input tokens and $0.30 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $0.1797 per million input-plus-output tokens.
Is gemma-4-12b open source?: Yes — gemma-4-12b is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
When was gemma-4-12b released?: gemma-4-12b was publicly released on June 3, 2026.
How large is the context window of gemma-4-12b?: gemma-4-12b supports a context window of 256,000 tokens — the amount of text it can consider in a single request.
How fast is gemma-4-12b?: In independent measurements, gemma-4-12b generates about 111 tokens per second, with a typical response time of about 25 seconds.