What is the IQ of gpt-5.4-mini?

gpt-5.4-mini has an estimated IQ of 111, which ranks #75 out of 176 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 gpt-5.4-mini best at?

Among the dimensions with published benchmark results, gpt-5.4-mini ranks highest in Knowledge Work (IQ 114, #63 of 176) and Academic Reasoning (IQ 124, #79 of 203). Its lowest-ranked measured dimension is Abstract Reasoning (IQ 87, #120 of 201).

What is the EQ of gpt-5.4-mini?

gpt-5.4-mini doesn't have an EQ score yet. EQ (emotional reasoning) is calculated from EQ-Bench 4 and AttuneBench, and neither has published a result for gpt-5.4-mini. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.

Which benchmarks has gpt-5.4-mini been tested on?

gpt-5.4-mini has published results on 26 of the 39 benchmarks behind AI IQ's Composite IQ, including AIME, SciCode, IFBench, CritPt and GDP.pdf.

How much does gpt-5.4-mini cost?

gpt-5.4-mini costs $0.75 per million input tokens and $4.50 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $6.36 per million input-plus-output tokens.

Is gpt-5.4-mini open source?

No — gpt-5.4-mini is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.

Who developed gpt-5.4-mini?

gpt-5.4-mini was developed by OpenAI, based in the United States.

When was gpt-5.4-mini released?

gpt-5.4-mini was publicly released on March 17, 2026.

How large is the context window of gpt-5.4-mini?

gpt-5.4-mini supports a context window of 400,000 tokens — the amount of text it can consider in a single request.

How fast is gpt-5.4-mini?

In independent measurements, gpt-5.4-mini generates about 215 tokens per second, with a typical response time of about 150 seconds.

OpenAIReleased Mar 17, 2026

Proprietary

gpt-5.4-mini

Its best results are in Knowledge Work (#63 of 176) and Academic Reasoning (#79 of 203); weakest in Abstract Reasoning (#120 of 201). All seven dimensions are measured.

Composite IQ ?

111

#75 of 176 ranked models · ahead of 58%

OpenAI's #15 model, behind gpt-6.1-sol (141)

Effective cost

$6.36/1M

$0.75 in · $4.50 out

Speed

215tok/s

150s typical response

Context

400Ktokens

400,000 tokens in

Evidence

7of 7 dims

26 of 39 benchmarks

Compare with gpt-6.1-solAPI pricing

IQ profile

Seven dimensions, averaged equally into Composite IQ

Compare shape with

Measured95% range

#1 in dimensionTop-10 median

IQ dimensions

Ranks are among models scored in each dimension. Ranges are model-based estimates, not calibrated confidence intervals.

DimensionIQPosition · 70–160RankEvidencevs Top 10

Abstract ReasoningAbstract

87measured

#120 / 201

4/5

-39.5

Mathematical ReasoningMath

116measured

#69 / 176

3/5

-31

Academic ReasoningAcademic

124measured

#79 / 203

5/6

-11.5

Programmatic ReasoningCoding

115measured

#74 / 177

3/6

-34.5

Computer UseComputer Use

111measured

#85 / 176

2/5

-32

ReliabilityReliability

110measured

#105 / 177

5/6

-24

Knowledge WorkKnowledge Work

114measured

#63 / 176

4/6

-17.5

gpt-5.4-mini95% range (model-based, uncalibrated)Top-10 median#1 in dimension100 = average human

Benchmark results

26 of 39 Composite IQ benchmarks have a published result for gpt-5.4-mini. Benchmarks without a result stay listed so gaps are visible.

Abstract Reasoning IQ 87 · measuredBest: #42 of 76 on Chess Puzzles4/5

BenchmarkScorePercentileRankLeader · source

Chess Puzzles

Epoch AI vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 14

24.0%

#42 / 76

Leader gpt-6-astra · 72.0%
Epoch AI vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 14

ARC-AGI-2

Full source leaderboard reconciliation · Oct 23

18.9%

#46 / 68

Leader gpt-6-astra · 95.0%
Full source leaderboard reconciliation · Oct 23

ARC-AGI-1

Full source leaderboard reconciliation · Oct 23

63.7%

#50 / 68

Leader fable-5 · 98.5%
Full source leaderboard reconciliation · Oct 23

Mystery Game Puzzles

Full source leaderboard reconciliation vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 23

8.0%

#50 / 55

Leader gpt-6-astra · 84.0%
Full source leaderboard reconciliation vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 23

Not yet reported

ARC-AGI-3

Mathematical Reasoning IQ 116 · measuredBest: #10 of 56 on AIME3/5

BenchmarkScorePercentileRankLeader · source

AIME

95.6%

#10 / 56

Leader gemini-3.1-pro · 98.1%

FrontierMath Tier 1-3

Full source leaderboard reconciliation · Oct 23

51.2%

#49 / 84

Leader gpt-6-astra · 93.7%
Full source leaderboard reconciliation · Oct 23

FrontierMath Tier 4

Full source leaderboard reconciliation · Oct 23

9.8%

#56 / 72

Leader gpt-6.1-sol · 100%
Full source leaderboard reconciliation · Oct 23

Not yet reported

ProofBench 1.1MathArena

Academic Reasoning IQ 124 · measuredBest: #49 of 167 on SciCode5/6

BenchmarkScorePercentileRankLeader · source

SciCode

Artificial Analysis v4.3.2 · Oct 27

52.1%

#49 / 167

Leader opus-5.5 · 66.9%
Artificial Analysis v4.3.2 · Oct 27

CritPt

Artificial Analysis v4.3.2 · Oct 27

10.0%

#62 / 159

Leader Muse Wonder Full · 32.9%
Artificial Analysis v4.3.2 · Oct 27

GPQA Diamond

Artificial Analysis v4.3.2 · Oct 27

87.5%

#64 / 147

Leader gpt-6-astra · 96.1%
Artificial Analysis v4.3.2 · Oct 27

Humanity's Last Exam

Artificial Analysis v4.3.2 · Oct 27

28.1%

#97 / 167

Leader opus-5.5 · 61.4%
Artificial Analysis v4.3.2 · Oct 27

MMMU-Pro

Artificial Analysis v4.3.2 · Oct 27

73.3%

#64 / 89

Leader fable-5.1 · 90.6%
Artificial Analysis v4.3.2 · Oct 27

Not yet reported

MMLU-Pro

Programmatic Reasoning IQ 115 · measuredBest: #53 of 104 on Terminal-Bench 4.03/6

BenchmarkScorePercentileRankLeader · source

Terminal-Bench 4.0

Artificial Analysis v4.3.2 · Oct 27

2.0%

#53 / 104

Leader Kimi K3.1 Pro · 67.2%
Artificial Analysis v4.3.2 · Oct 27

LiveCodeBench

Vals.ai · Aug 4

81.5%

#33 / 61

Leader Fugu Ultra v1.0 · 93.2%
Vals.ai · Aug 4

ProgramBench

Full source leaderboard reconciliation · Oct 23

3.0%

#38 / 61

Leader opus-5.5 · 65.0%
Full source leaderboard reconciliation · Oct 23

Not yet reported

IOI V2SWE-rebenchMirrorCode

Computer Use IQ 111 · measuredBest: #17 of 24 on OSWorld-Verified2/5

BenchmarkScorePercentileRankLeader · source

OSWorld-Verified

Full source leaderboard reconciliation · Oct 23

72.1%

#17 / 24

Leader fable-5 · 85.0%
Full source leaderboard reconciliation · Oct 23

MCP Atlas

Full source leaderboard reconciliation · Oct 23

56.7%

#30 / 32

Leader muse-spark-1.1 · 88.1%
Full source leaderboard reconciliation · Oct 23

Not yet reported

BrowseCompArena.ai Agent ArenaAgents' Last Exam

Reliability IQ 110 · measuredBest: #32 of 96 on IFBench5/6

BenchmarkScorePercentileRankLeader · source

IFBench

Artificial Analysis v4.3.2 · Oct 27

73.3%

#32 / 96

Leader minimax-m3 · 82.9%
Artificial Analysis v4.3.2 · Oct 27

AA Long Context Reasoning v1.1

Artificial Analysis v4.3.2 · Oct 27

77.0%

#79 / 154

Leader kimi-k3 · 88.7%
Artificial Analysis v4.3.2 · Oct 27

BullshitBench v2

Full source leaderboard reconciliation · Oct 23

31.0%

#52 / 83

Leader opus-4.8 · 94.0%
Full source leaderboard reconciliation · Oct 23

AA Omniscience

Artificial Analysis v4.3.2 · Oct 27

-18.9

#110 / 158

Leader opus-5.5 · 46.4
Artificial Analysis v4.3.2 · Oct 27

SimpleQA Verified

Full source leaderboard reconciliation · Oct 23

29.4%

#66 / 80

Leader Gemini 4 Argon · 76.0%
Full source leaderboard reconciliation · Oct 23

Not yet reported

FACTS Grounding

Knowledge Work IQ 114 · measuredBest: #44 of 106 on GDP.pdf4/6

BenchmarkScorePercentileRankLeader · source

GDP.pdf

Artificial Analysis v4.3.2 · Oct 27

13.4%

#44 / 106

Leader Muse Wonder Full · 32.6%
Artificial Analysis v4.3.2 · Oct 27

AutomationBench-AA

Artificial Analysis v4.3.2 · Oct 27

26.2%

#52 / 106

Leader Gemini 4 Argon · 77.5%
Artificial Analysis v4.3.2 · Oct 27

GDPval-AA v2.1 normalized score

Artificial Analysis v4.3.2 · Oct 20

25.6%

#69 / 124

Leader opus-5.5 · 68.3%
Artificial Analysis v4.3.2 · Oct 20

AA-Briefcase v1.1 Elo

Artificial Analysis v4.3.2 · Oct 27

719

#77 / 111

Leader sonnet-5.5 · 1,812
Artificial Analysis v4.3.2 · Oct 27

Not yet reported

AA-AnalystAgentEnterpriseOps-Gym-AA

Release & availability

Release details on record for this model.

Released: Mar 17, 2026
Developer: OpenAI
Weights: ProprietaryHosted access only
Context: 400,000 tokens
API price: $0.75 in · $4.50 outper 1M tokens · full pricing

About this score

How much of gpt-5.4-mini's IQ is measured, and how the rest is estimated.

26/ 39benchmark results

7/ 7dimensions measured

0estimated

4/5Abstract

3/5Math

5/6Academic

3/6Coding

2/5Computer Use

5/6Reliability

4/6Knowledge Work

Bar height = share of benchmarks with resultsEstimatedNo score

Measured results are shown as published

Every score in the benchmark tables comes from its source unchanged. Composite IQ averages all seven dimensions equally.

How gaps are handled

Every dimension has at least one published result. Missing benchmarks can also draw on its predecessor, GPT 5 Mini; a predecessor is an estimation input, not evidence that this model has the predecessor's measured results.

A missing result is not a zero

Benchmark versions and evaluation harnesses can differ between sources, so small gaps between models may not be meaningful.

Read the scoring methodology →

Compare gpt-5.4-mini

Side-by-side pages for the models it is most often weighed against.

#1 overall

gpt-6.1-sol

IQ141 30 higherEffective cost$6.30 about the same

Closest IQ

kimi-k2.7-code

IQ111 same IQEffective cost$3.57 1.8× cheaper

Most similar profile

Inkling-Small

IQ110 1 lowerEffective cost$1.24 5.1× cheaper

Similar price

glm-5

IQ106 5 lowerEffective cost$6.38 about the same

#2 overall

opus-5.5

IQ141 30 higherEffective cost$35.73 5.6× pricier

#3 overall

Gemini 4 Argon

IQ140 29 higher

gpt-5.4-miniComparison model

Compare with any modelBrowse all comparisons →

Frequently asked questions

Quick answers about gpt-5.4-mini, drawn from the same data as the rest of this page.

How AI IQ scores models →Get this data from the API →

What is the IQ of gpt-5.4-mini?: gpt-5.4-mini has an estimated IQ of 111, which ranks #75 out of 176 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 gpt-5.4-mini best at?: Among the dimensions with published benchmark results, gpt-5.4-mini ranks highest in Knowledge Work (IQ 114, #63 of 176) and Academic Reasoning (IQ 124, #79 of 203). Its lowest-ranked measured dimension is Abstract Reasoning (IQ 87, #120 of 201).
What is the EQ of gpt-5.4-mini?: gpt-5.4-mini doesn't have an EQ score yet. EQ (emotional reasoning) is calculated from EQ-Bench 4 and AttuneBench, and neither has published a result for gpt-5.4-mini. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.
Which benchmarks has gpt-5.4-mini been tested on?: gpt-5.4-mini has published results on 26 of the 39 benchmarks behind AI IQ's Composite IQ, including AIME, SciCode, IFBench, CritPt and GDP.pdf.
How much does gpt-5.4-mini cost?: gpt-5.4-mini costs $0.75 per million input tokens and $4.50 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $6.36 per million input-plus-output tokens.
Is gpt-5.4-mini open source?: No — gpt-5.4-mini is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.
Who developed gpt-5.4-mini?: gpt-5.4-mini was developed by OpenAI, based in the United States.
When was gpt-5.4-mini released?: gpt-5.4-mini was publicly released on March 17, 2026.
How large is the context window of gpt-5.4-mini?: gpt-5.4-mini supports a context window of 400,000 tokens — the amount of text it can consider in a single request.
How fast is gpt-5.4-mini?: In independent measurements, gpt-5.4-mini generates about 215 tokens per second, with a typical response time of about 150 seconds.