What is the IQ of gpt-5?

gpt-5 has an estimated IQ of 111, which ranks #73 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 best at?

Among the dimensions with published benchmark results, gpt-5 ranks highest in Programmatic Reasoning (IQ 117, #67 of 177) and Mathematical Reasoning (IQ 116, #70 of 176). Its lowest-ranked measured dimension is Computer Use (IQ 104, #103 of 176).

What is the EQ of gpt-5?

gpt-5 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. 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 been tested on?

gpt-5 has published results on 22 of the 39 benchmarks behind AI IQ's Composite IQ, including LiveCodeBench, AIME, Chess Puzzles, IFBench and SimpleQA Verified.

How much does gpt-5 cost?

gpt-5 costs $1.25 per million input tokens and $10.00 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $14.22 per million input-plus-output tokens.

Is gpt-5 open source?

No — gpt-5 is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.

gpt-5 was developed by OpenAI, based in the United States.

When was gpt-5 released?

gpt-5 was publicly released on August 7, 2025.

How large is the context window of gpt-5?

AI IQ hasn't verified an input context limit for gpt-5 from its developer's documentation, so none is listed rather than guessing.

In independent measurements, gpt-5 generates about 116 tokens per second, with a typical response time of about 79 seconds.

OpenAIReleased Aug 7, 2025

Proprietary

gpt-5

Its best results are in Programmatic Reasoning (#67 of 177) and Mathematical Reasoning (#70 of 176); weakest in Computer Use (#103 of 176). All seven dimensions are measured.

Composite IQ ?

111

#73 of 176 ranked models · ahead of 59%

OpenAI's #13 model, behind gpt-6.1-sol (141)

Effective cost

$14.22/1M

$1.25 in · $10 out

Speed

116tok/s

79s typical response

Context

Unverified

Not in publisher docs

Evidence

7of 7 dims

22 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

91measured

#96 / 201

4/5

-35.5

Mathematical ReasoningMath

116measured

#70 / 176

4/5

-31

Academic ReasoningAcademic

121measured

#94 / 203

5/6

-14.5

Programmatic ReasoningCoding

117measured

#67 / 177

1/6

-32.5

Computer UseComputer Use

104measured

#103 / 176

1/5

-39

ReliabilityReliability

114measured

#77 / 177

6/6

-20

Knowledge WorkKnowledge Work

112measured

#81 / 176

1/6

-19.5

gpt-595% range (model-based, uncalibrated)Top-10 median#1 in dimension100 = average human

Benchmark results

22 of 39 Composite IQ benchmarks have a published result for gpt-5. Benchmarks without a result stay listed so gaps are visible.

Abstract Reasoning IQ 91 · measuredBest: #25 of 76 on Chess Puzzles4/5

BenchmarkScorePercentileRankLeader · source

Chess Puzzles

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

37.0%

#25 / 76

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

Mystery Game Puzzles

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

23.0%

#35 / 55

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

ARC-AGI-1

Full source leaderboard reconciliation · Oct 23

65.7%

#48 / 68

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

ARC-AGI-2

Full source leaderboard reconciliation · Oct 23

9.9%

#51 / 68

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

Not yet reported

ARC-AGI-3

Mathematical Reasoning IQ 116 · measuredBest: #16 of 56 on AIME4/5

BenchmarkScorePercentileRankLeader · source

AIME

93.4%

#16 / 56

Leader gemini-3.1-pro · 98.1%

FrontierMath Tier 1-3

Full source leaderboard reconciliation · Oct 23

55.4%

#45 / 84

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

FrontierMath Tier 4

Full source leaderboard reconciliation · Oct 23

22.0%

#44 / 72

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

MathArena

Full source leaderboard reconciliation · Oct 28

16.7%

#47 / 64

Leader gpt-6.1-sol · 84.0%
Full source leaderboard reconciliation · Oct 28

Not yet reported

ProofBench 1.1

Academic Reasoning IQ 121 · measuredBest: #77 of 159 on CritPt5/6

BenchmarkScorePercentileRankLeader · source

CritPt

Artificial Analysis v4.3.2 · Oct 27

5.7%

#77 / 159

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

GPQA Diamond

Artificial Analysis v4.3.2 · Oct 27

85.4%

#81 / 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

28.5%

#93 / 167

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

SciCode

Artificial Analysis model leaderboard · Sep 10

43.0%

#99 / 167

Leader opus-5.5 · 66.9%
Artificial Analysis model leaderboard · Sep 10

MMMU-Pro

Artificial Analysis v4.3.2 · Oct 27

74.2%

#59 / 89

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

Not yet reported

MMLU-Pro

Programmatic Reasoning IQ 117 · measuredBest: #12 of 61 on LiveCodeBench1/6

BenchmarkScorePercentileRankLeader · source

LiveCodeBench

Vals.ai · Aug 4

85.9%

#12 / 61

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

Not yet reported

IOI V2Terminal-Bench 4.0ProgramBenchSWE-rebenchMirrorCode

Computer Use IQ 104 · measuredBest: #35 of 43 on BrowseComp1/5

BenchmarkScorePercentileRankLeader · source

BrowseComp

Full source leaderboard reconciliation · Oct 23

54.9%

#35 / 43

Leader Kimi K3.1 Pro · 92.1%
Full source leaderboard reconciliation · Oct 23

Not yet reported

OSWorld-VerifiedMCP AtlasArena.ai Agent ArenaAgents' Last Exam

Reliability IQ 114 · measuredBest: #33 of 96 on IFBench6/6

BenchmarkScorePercentileRankLeader · source

IFBench

Artificial Analysis v4.3.2 · Oct 27

73.1%

#33 / 96

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

SimpleQA Verified

Full source leaderboard reconciliation · Oct 23

50.1%

#31 / 80

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

AA Long Context Reasoning v1.1

Artificial Analysis v4.3.2 · Oct 27

78.2%

#67 / 154

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

FACTS Grounding

Full source leaderboard reconciliation · Oct 23

69.6%

#19 / 36

Leader gpt-6-sol · 85.2%
Full source leaderboard reconciliation · Oct 23

AA Omniscience

Artificial Analysis v4.3.2 · Oct 27

-8.7

#85 / 158

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

BullshitBench v2

Full source leaderboard reconciliation · Oct 23

21.0%

#64 / 83

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

Knowledge Work IQ 112 · measuredBest: #81 of 124 on GDPval-AA v2.1 normalized score1/6

BenchmarkScorePercentileRankLeader · source

GDPval-AA v2.1 normalized score

Artificial Analysis v4.3.2 · Oct 20

20.9%

#81 / 124

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

Not yet reported

AA-Briefcase v1.1AutomationBench-AAGDP.pdfAA-AnalystAgentEnterpriseOps-Gym-AA

Release & availability

Release details on record for this model.

Released: Aug 7, 2025
Developer: OpenAI
Weights: ProprietaryHosted access only
API price: $1.25 in · $10 outper 1M tokens · full pricing

About this score

How much of gpt-5's IQ is measured, and how the rest is estimated.

22/ 39benchmark results

7/ 7dimensions measured

0estimated

4/5Abstract

4/5Math

5/6Academic

1/6Coding

1/5Computer Use

6/6Reliability

1/6Knowledge 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 predecessors, O3 and O1; 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

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 2.3× cheaper

Predecessor

IQ103 8 lowerEffective cost$8.72 1.6× cheaper

Closest IQ

kimi-k2.7-code

IQ111 same IQEffective cost$3.57 4.0× cheaper

Most similar profile

qwen3.6-max

IQ113 2 higherEffective cost$10.62 1.3× cheaper

Similar price

gemini-3-pro

IQ114 3 higherEffective cost$14.78 about the same

#2 overall

opus-5.5

IQ141 30 higherEffective cost$35.73 2.5× pricier

gpt-5Comparison model

Compare with any modelBrowse all comparisons →

Frequently asked questions

Quick answers about gpt-5, 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?: gpt-5 has an estimated IQ of 111, which ranks #73 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 best at?: Among the dimensions with published benchmark results, gpt-5 ranks highest in Programmatic Reasoning (IQ 117, #67 of 177) and Mathematical Reasoning (IQ 116, #70 of 176). Its lowest-ranked measured dimension is Computer Use (IQ 104, #103 of 176).
What is the EQ of gpt-5?: gpt-5 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. 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 been tested on?: gpt-5 has published results on 22 of the 39 benchmarks behind AI IQ's Composite IQ, including LiveCodeBench, AIME, Chess Puzzles, IFBench and SimpleQA Verified.
How much does gpt-5 cost?: gpt-5 costs $1.25 per million input tokens and $10.00 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $14.22 per million input-plus-output tokens.
Is gpt-5 open source?: No — gpt-5 is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.
Who developed gpt-5?: gpt-5 was developed by OpenAI, based in the United States.
When was gpt-5 released?: gpt-5 was publicly released on August 7, 2025.
How large is the context window of gpt-5?: AI IQ hasn't verified an input context limit for gpt-5 from its developer's documentation, so none is listed rather than guessing.
How fast is gpt-5?: In independent measurements, gpt-5 generates about 116 tokens per second, with a typical response time of about 79 seconds.