What is the IQ of k-exaone?

k-exaone has an estimated IQ of 103, which ranks #93 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.

How much does k-exaone cost?

k-exaone costs $0.20 per million input tokens and $0.80 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $1.74 per million input-plus-output tokens.

Is k-exaone open source?

Yes — k-exaone is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.

When was k-exaone released?

k-exaone was publicly released on December 31, 2025.

How large is the context window of k-exaone?

k-exaone supports a context window of 256,000 tokens — the amount of text it can consider in a single request.

LG AI Research

k-exaone

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

IQ

103

EQ

n/a

Effective Cost

$1.7379

IQ Rank

#93

k-exaone API pricing — full price table, workload cost examples, and cheaper alternatives.

IQ Dimensions

Dimension	IQ	Coverage
Abstract Reasoning	78	0/3
Mathematical Reasoning	113	1/5
Academic Reasoning	113	5/6
Programmatic Reasoning	114	1/5
Computer Use	94	0/5
Reliability	103	3/6

Benchmark Results

Benchmark	Score	Dimension
AA Long Context Reasoning v1.1	61.3333	Reliability
AA Omniscience	-57.9667	Reliability
AIME	90.3	Mathematical Reasoning
CritPt	1.1184	Academic Reasoning
GPQA Diamond	78.2828	Academic Reasoning
Humanity's Last Exam	13.9481	Academic Reasoning
IFBench	64.6939	Reliability
LiveCodeBench	76.8	Programmatic Reasoning
MMLU-Pro	83.8	Academic Reasoning
SciCode	35.6	Academic Reasoning

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Frequently Asked Questions

What is the IQ of k-exaone?: k-exaone has an estimated IQ of 103, which ranks #93 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.
How much does k-exaone cost?: k-exaone costs $0.20 per million input tokens and $0.80 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $1.74 per million input-plus-output tokens.
Is k-exaone open source?: Yes — k-exaone is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
When was k-exaone released?: k-exaone was publicly released on December 31, 2025.
How large is the context window of k-exaone?: k-exaone supports a context window of 256,000 tokens — the amount of text it can consider in a single request.