What is the IQ of gpt-5.3-codex?

gpt-5.3-codex has an estimated IQ of 112, which ranks #56 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 gpt-5.3-codex cost?

gpt-5.3-codex costs $1.75 per million input tokens and $14.00 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $18.28 per million input-plus-output tokens.

Is gpt-5.3-codex open source?

No — gpt-5.3-codex is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.

When was gpt-5.3-codex released?

gpt-5.3-codex was publicly released on February 5, 2026.

How large is the context window of gpt-5.3-codex?

gpt-5.3-codex supports a context window of 400,000 tokens — the amount of text it can consider in a single request.

How fast is gpt-5.3-codex?

In independent measurements, gpt-5.3-codex generates about 99 tokens per second, with a typical response time of about 104 seconds.

OpenAI

gpt-5.3-codex

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

IQ

112

EQ

n/a

Effective Cost

$18.28

IQ Rank

#56

gpt-5.3-codex API pricing — full price table, workload cost examples, and cheaper alternatives.

IQ Dimensions

Dimension	IQ	Coverage
Abstract Reasoning	84	0/3
Mathematical Reasoning	104	0/5
Academic Reasoning	131	5/6
Programmatic Reasoning	126	2/5
Computer Use	113	1/5
Reliability	115	4/6

Benchmark Results

Benchmark	Score	Dimension
AA Long Context Reasoning v1.1	83.3333	Reliability
AA Omniscience	10.8667	Reliability
BullshitBench v2	19	Reliability
CritPt	16.8571	Academic Reasoning
GPQA Diamond	91.5152	Academic Reasoning
Humanity's Last Exam	42.493	Academic Reasoning
IFBench	75.3741	Reliability
IOI V2	53.833	Programmatic Reasoning
LiveCodeBench	87.31	Programmatic Reasoning
MMMU-Pro	78.4971	Academic Reasoning
OSWorld-Verified	64.7	Computer Use
SciCode	53.2	Academic Reasoning

Compare

Frequently Asked Questions

What is the IQ of gpt-5.3-codex?: gpt-5.3-codex has an estimated IQ of 112, which ranks #56 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 gpt-5.3-codex cost?: gpt-5.3-codex costs $1.75 per million input tokens and $14.00 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $18.28 per million input-plus-output tokens.
Is gpt-5.3-codex open source?: No — gpt-5.3-codex is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.
When was gpt-5.3-codex released?: gpt-5.3-codex was publicly released on February 5, 2026.
How large is the context window of gpt-5.3-codex?: gpt-5.3-codex supports a context window of 400,000 tokens — the amount of text it can consider in a single request.
How fast is gpt-5.3-codex?: In independent measurements, gpt-5.3-codex generates about 99 tokens per second, with a typical response time of about 104 seconds.