What is the IQ of gemma-4-31b?

gemma-4-31b has an estimated IQ of 101, which ranks #99 out of 143 public models on the AI IQ leaderboard. The score combines six equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.

What is the EQ of gemma-4-31b?

gemma-4-31b has an estimated EQ of 105. EQ measures emotional reasoning — how well a model reads and responds to emotional context — and is scored separately from IQ.

How much does gemma-4-31b cost?

gemma-4-31b costs $0.12 per million input tokens and $0.35 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $0.2457 per million input-plus-output tokens.

Is gemma-4-31b open source?

Yes — gemma-4-31b is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.

When was gemma-4-31b released?

gemma-4-31b was publicly released on April 2, 2026.

How large is the context window of gemma-4-31b?

gemma-4-31b supports a context window of 256,000 tokens — the amount of text it can consider in a single request.

How fast is gemma-4-31b?

In independent measurements, gemma-4-31b generates about 34 tokens per second, with a typical response time of about 66 seconds.

Google

gemma-4-31b

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

IQ

101

EQ

105

Effective Cost

$0.2457

IQ Rank

#99

gemma-4-31b API pricing — full price table, workload cost examples, and cheaper alternatives.

IQ Dimensions

Dimension	IQ	Coverage
Abstract Reasoning	86	0/3
Mathematical Reasoning	95	0/5
Academic Reasoning	119	5/6
Programmatic Reasoning	99	2/5
Computer Use	101	0/5
Reliability	108	6/6

Benchmark Results

Benchmark	Score	Dimension
AA Long Context Reasoning v1.1	69.6667	Reliability
AA Omniscience	-47.9333	Reliability
BullshitBench v2	25	Reliability
CritPt	1.4286	Academic Reasoning
FACTS Grounding	80.6716	Reliability
GPQA Diamond	85.6566	Academic Reasoning
Humanity's Last Exam	23.633	Academic Reasoning
IFBench	75.5782	Reliability
MMMU-Pro	73.4104	Academic Reasoning
SciCode	45.4861	Academic Reasoning
SimpleQA Verified	10.4	Reliability
SWE-rebench	16.5	Programmatic Reasoning

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Frequently Asked Questions

What is the IQ of gemma-4-31b?: gemma-4-31b has an estimated IQ of 101, which ranks #99 out of 143 public models on the AI IQ leaderboard. The score combines six equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
What is the EQ of gemma-4-31b?: gemma-4-31b has an estimated EQ of 105. EQ measures emotional reasoning — how well a model reads and responds to emotional context — and is scored separately from IQ.
How much does gemma-4-31b cost?: gemma-4-31b costs $0.12 per million input tokens and $0.35 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $0.2457 per million input-plus-output tokens.
Is gemma-4-31b open source?: Yes — gemma-4-31b is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
When was gemma-4-31b released?: gemma-4-31b was publicly released on April 2, 2026.
How large is the context window of gemma-4-31b?: gemma-4-31b supports a context window of 256,000 tokens — the amount of text it can consider in a single request.
How fast is gemma-4-31b?: In independent measurements, gemma-4-31b generates about 34 tokens per second, with a typical response time of about 66 seconds.