What is the IQ of gpt-oss-120b?

gpt-oss-120b has an estimated IQ of 98, which ranks #136 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-oss-120b best at?

Among the dimensions with published benchmark results, gpt-oss-120b ranks highest in Mathematical Reasoning (IQ 110, #92 of 176) and Programmatic Reasoning (IQ 108, #101 of 177). Its lowest-ranked measured dimension is Reliability (IQ 94, #162 of 177).

What is the EQ of gpt-oss-120b?

gpt-oss-120b has an estimated EQ of 97. EQ measures emotional reasoning — how well a model reads and responds to emotional context — and is scored separately from IQ.

Which benchmarks has gpt-oss-120b been tested on?

gpt-oss-120b has published results on 21 of the 39 benchmarks behind AI IQ's Composite IQ, including AIME, LiveCodeBench, IFBench, MMLU-Pro and Chess Puzzles.

How much does gpt-oss-120b cost?

gpt-oss-120b costs $0.15 per million input tokens and $0.595 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $0.6934 per million input-plus-output tokens.

Is gpt-oss-120b open source?

Yes — gpt-oss-120b is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.

Who developed gpt-oss-120b?

gpt-oss-120b was developed by OpenAI, based in the United States.

When was gpt-oss-120b released?

gpt-oss-120b was publicly released on August 5, 2025.

How large is the context window of gpt-oss-120b?

gpt-oss-120b supports a context window of 131,000 tokens — the amount of text it can consider in a single request.

How fast is gpt-oss-120b?

In independent measurements, gpt-oss-120b generates about 241 tokens per second, with a typical response time of about 11 seconds.

OpenAIReleased Aug 5, 2025

Open weights

gpt-oss-120b

Its best results are in Mathematical Reasoning (#92 of 176) and Programmatic Reasoning (#101 of 177); weakest in Reliability (#162 of 177). Computer Use is estimated, because no results are published yet.

Composite IQ ?

#136 of 176 ranked models · ahead of 23%

OpenAI's #18 model, behind gpt-6.1-sol (141)

Effective cost

$0.693/1M

$0.15 in · $0.59 out

Speed

241tok/s

11s typical response

Context

131Ktokens

131,000 tokens in

Evidence

6of 7 dims

21 of 39 benchmarks

Compare with gpt-6.1-solAPI pricing

IQ profile

Seven dimensions, averaged equally into Composite IQ

Compare shape with

MeasuredEstimated95% 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

#123 / 201

2/5

-39.5

Mathematical ReasoningMath

110measured

#92 / 176

2/5

-37

Academic ReasoningAcademic

112measured

#129 / 203

5/6

-23.5

Programmatic ReasoningCoding

108measured

#101 / 177

2/6

-41.5

Computer UseComputer Use

75estimated

#150 / 176

0/5

-68

ReliabilityReliability

94measured

#162 / 177

6/6

-40

Knowledge WorkKnowledge Work

99measured

#119 / 176

4/6

-32.5

gpt-oss-120b95% range (model-based, uncalibrated)Top-10 median#1 in dimension100 = average human

Benchmark results

21 of 39 Composite IQ benchmarks have a published result for gpt-oss-120b. Benchmarks without a result stay listed so gaps are visible.

Abstract Reasoning IQ 87 · measuredBest: #53 of 76 on Chess Puzzles2/5

BenchmarkScorePercentileRankLeader · source

Chess Puzzles

Epoch AI vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 15

20.0%

#53 / 76

Leader gpt-6-astra · 72.0%
Epoch AI vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 15

Mystery Game Puzzles

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

2.0%

#55 / 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-3ARC-AGI-2ARC-AGI-1

Mathematical Reasoning IQ 110 · measuredBest: #19 of 56 on AIME2/5

BenchmarkScorePercentileRankLeader · source

AIME

92.6%

#19 / 56

Leader gemini-3.1-pro · 98.1%

MathArena

Full source leaderboard reconciliation · Oct 28

14.7%

#50 / 64

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

Not yet reported

FrontierMath Tier 4FrontierMath Tier 1-3ProofBench 1.1

Academic Reasoning IQ 112 · measuredBest: #30 of 45 on MMLU-Pro5/6

BenchmarkScorePercentileRankLeader · source

MMLU-Pro

TIGER-Lab MMLU-Pro leaderboard (missing rows only) · Sep 22

80.8%

#30 / 45

Leader fable-5.1 · 92.4%
TIGER-Lab MMLU-Pro leaderboard (missing rows only) · Sep 22

CritPt

Artificial Analysis v4.3.2 · Oct 27

1.1%

#113 / 159

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

Humanity's Last Exam

Artificial Analysis v4.3.2 · Oct 27

19.6%

#120 / 167

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

GPQA Diamond

Artificial Analysis v4.3.2 · Oct 27

78.2%

#107 / 147

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

SciCode

Artificial Analysis v4.3.2 · Oct 27

34.0%

#148 / 167

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

Not yet reported

MMMU-Pro

Programmatic Reasoning IQ 108 · measuredBest: #27 of 61 on LiveCodeBench2/6

BenchmarkScorePercentileRankLeader · source

LiveCodeBench

Vals.ai · Aug 4

83.2%

#27 / 61

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

Terminal-Bench 4.0

Artificial Analysis v4.3.2 · Oct 27

0.0%

#78 / 104

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

Not yet reported

IOI V2ProgramBenchSWE-rebenchMirrorCode

Computer Use IQ 75 · estimatedNo published results0/5

No published results yet for Computer Use. The 75 shown is estimated from gpt-oss-120b's other dimensions and will be replaced as results come in. How estimates work

BrowseCompOSWorld-VerifiedMCP AtlasArena.ai Agent ArenaAgents' Last Exam

Reliability IQ 94 · measuredBest: #49 of 96 on IFBench6/6

BenchmarkScorePercentileRankLeader · source

IFBench

Artificial Analysis v4.3.2 · Oct 27

69.0%

#49 / 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

52.0%

#137 / 154

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

AA Omniscience

Artificial Analysis v4.3.2 · Oct 27

-49.2

#147 / 158

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

SimpleQA Verified

Epoch AI SimpleQA Verified · Sep 22

13.9%

#75 / 80

Leader Gemini 4 Argon · 76.0%
Epoch AI SimpleQA Verified · Sep 22

FACTS Grounding

Full source leaderboard reconciliation · Oct 23

30.7%

#35 / 36

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

BullshitBench v2

Full source leaderboard reconciliation · Oct 23

5.0%

#81 / 83

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

Knowledge Work IQ 99 · measuredBest: #84 of 106 on GDP.pdf4/6

BenchmarkScorePercentileRankLeader · source

GDP.pdf

Artificial Analysis v4.3.2 · Oct 27

4.0%

#84 / 106

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

GDPval-AA v2.1 normalized score

Artificial Analysis v4.3.2 · Oct 23

5.4%

#99 / 124

Leader opus-5.5 · 68.3%
Artificial Analysis v4.3.2 · Oct 23

AA-Briefcase v1.1 Elo

Artificial Analysis v4.3.2 · Oct 27

0.0

#109 / 111

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

AutomationBench-AA

Artificial Analysis v4.3.2 · Oct 27

0.2%

#106 / 106

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

Not yet reported

AA-AnalystAgentEnterpriseOps-Gym-AA

Release & availability

Release details on record for this model.

Released: Aug 5, 2025
Developer: OpenAI
Weights: Open weightsDownloadable and self-hostable
Context: 131,000 tokens
API price: $0.15 in · $0.59 outper 1M tokens · full pricing

About this score

How much of gpt-oss-120b's IQ is measured, and how the rest is estimated.

21/ 39benchmark results

6/ 7dimensions measured

1estimated

2/5Abstract

2/5Math

5/6Academic

2/6Coding

0/5Computer Use

6/6Reliability

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.

Estimates fill the gaps

Computer Use has no published results yet, so its IQ is estimated from gpt-oss-120b's other dimensions.

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-oss-120b

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

#1 overall

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IQ141 43 higherEffective cost$6.30 9.1× pricier

Closest IQ

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IQ98 same IQEffective cost$0.403 1.7× cheaper

Most similar profile

k-exaone

IQ97 1 lowerEffective cost$0.609 1.1× cheaper

Similar price

mimo-v2.6-flash

IQ121 23 higherEffective cost$0.69 about the same

#2 overall

opus-5.5

IQ141 43 higherEffective cost$35.73 51.5× pricier

#3 overall

Gemini 4 Argon

IQ140 42 higher

gpt-oss-120bComparison model

Compare with any modelBrowse all comparisons →

Frequently asked questions

Quick answers about gpt-oss-120b, 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-oss-120b?: gpt-oss-120b has an estimated IQ of 98, which ranks #136 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-oss-120b best at?: Among the dimensions with published benchmark results, gpt-oss-120b ranks highest in Mathematical Reasoning (IQ 110, #92 of 176) and Programmatic Reasoning (IQ 108, #101 of 177). Its lowest-ranked measured dimension is Reliability (IQ 94, #162 of 177).
What is the EQ of gpt-oss-120b?: gpt-oss-120b has an estimated EQ of 97. EQ measures emotional reasoning — how well a model reads and responds to emotional context — and is scored separately from IQ.
Which benchmarks has gpt-oss-120b been tested on?: gpt-oss-120b has published results on 21 of the 39 benchmarks behind AI IQ's Composite IQ, including AIME, LiveCodeBench, IFBench, MMLU-Pro and Chess Puzzles.
How much does gpt-oss-120b cost?: gpt-oss-120b costs $0.15 per million input tokens and $0.595 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $0.6934 per million input-plus-output tokens.
Is gpt-oss-120b open source?: Yes — gpt-oss-120b is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
Who developed gpt-oss-120b?: gpt-oss-120b was developed by OpenAI, based in the United States.
When was gpt-oss-120b released?: gpt-oss-120b was publicly released on August 5, 2025.
How large is the context window of gpt-oss-120b?: gpt-oss-120b supports a context window of 131,000 tokens — the amount of text it can consider in a single request.
How fast is gpt-oss-120b?: In independent measurements, gpt-oss-120b generates about 241 tokens per second, with a typical response time of about 11 seconds.