What is the IQ of Motif 3?

Motif 3 has an estimated IQ of 108, which ranks #85 out of 170 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 Motif 3 best at?

Among the dimensions with published benchmark results, Motif 3 ranks highest in Reliability (IQ 117, #55 of 170) and Knowledge Work (IQ 113, #65 of 170). Its lowest-ranked measured dimension is Academic Reasoning (IQ 123, #79 of 195).

What is the EQ of Motif 3?

Motif 3 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 Motif 3. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.

Which benchmarks has Motif 3 been tested on?

Motif 3 has published results on 9 of the 39 benchmarks behind AI IQ's Composite IQ, including AA Omniscience, Humanity's Last Exam, AA-Briefcase v1.1 Elo, CritPt and GDPval-AA v2.1 normalized score.

How much does Motif 3 cost?

AI IQ doesn't have a verified standard per-token API price for Motif 3, so it can't calculate an effective cost. This is common for models offered only through subscriptions, restricted-access programs, or self-hosting.

Is Motif 3 open source?

Yes — Motif 3 is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.

Who developed Motif 3?

Motif 3 was developed by Motif, based in South Korea.

When was Motif 3 released?

Motif 3 was publicly released on August 10, 2026.

How large is the context window of Motif 3?

Motif 3 supports a context window of 262,144 tokens — the amount of text it can consider in a single request.

AI IQ doesn't have independent speed measurements for Motif 3 yet. Speed comes from independent tests of a model's hosted API, which aren't available for every model — especially new, restricted-access, or self-hosted ones.

MotifReleased Aug 10, 2026

Open weights

Motif 3

Strongest in Reliability (#55 of 170) and Knowledge Work (#65 of 170); weakest in Academic Reasoning (#79 of 195). Four of seven dimensions are estimated, because no results are published yet.

Composite IQ ?

108

#85 of 170 ranked models · ahead of 50%

World (Other)'s #6 model, behind mistral-large-4 (119)

Effective cost

Not priced

No standard API rate

Speed

Not measured

No speed data yet

Context

262Ktokens

262,144 tokens in

Evidence

3of 7 dims

9 of 39 benchmarks

Compare with gpt-6.1-sol

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

93estimated

#87 / 193

0/5

-35.5

Mathematical ReasoningMath

103estimated

#112 / 170

0/5

-43.5

Academic ReasoningAcademic

123measured

#79 / 195

4/6

-12.5

Programmatic ReasoningCoding

95estimated

#148 / 171

0/6

-54

Computer UseComputer Use

108estimated

#88 / 170

0/5

-32.5

ReliabilityReliability

117measured

#55 / 170

2/6

-15.5

Knowledge WorkKnowledge Work

113measured

#65 / 170

3/6

-18

Motif 395% range (model-based, uncalibrated)Top-10 median#1 in dimension100 = average human

Benchmark results

9 of 39 Composite IQ benchmarks have a published result for Motif 3. Benchmarks without a result stay listed so gaps are visible.

Abstract Reasoning IQ 93 · estimatedNo published results0/5

No published results yet for Abstract Reasoning. The 93 shown is estimated from Motif 3's other dimensions and will be replaced as results come in. How estimates work

ARC-AGI-3ARC-AGI-2ARC-AGI-1Chess PuzzlesMystery Game Puzzles

Mathematical Reasoning IQ 103 · estimatedNo published results0/5

No published results yet for Mathematical Reasoning. The 103 shown is estimated from Motif 3's other dimensions and will be replaced as results come in. How estimates work

FrontierMath Tier 4FrontierMath Tier 1-3ProofBench 1.1MathArenaAIME

Academic Reasoning IQ 123 · measuredBest: #59 of 163 on Humanity's Last Exam4/6

BenchmarkScorePercentileRankLeader · source

Humanity's Last Exam

Artificial Analysis v4.3.2 · Oct 19

37.0%

#59 / 163

Leader opus-5.5 · 61.4%
Artificial Analysis v4.3.2 · Oct 19

CritPt

Artificial Analysis v4.3.2 · Oct 19

6.6%

#71 / 155

Leader Muse Wonder Full · 32.9%
Artificial Analysis v4.3.2 · Oct 19

GPQA Diamond

Artificial Analysis v4.3.2 · Oct 19

83.4%

#91 / 147

Leader gpt-6-astra · 96.1%
Artificial Analysis v4.3.2 · Oct 19

SciCode

Artificial Analysis v4.3.2 · Oct 19

42.2%

#103 / 163

Leader opus-5.5 · 66.9%
Artificial Analysis v4.3.2 · Oct 19

Not yet reported

MMLU-ProMMMU-Pro

Programmatic Reasoning IQ 95 · estimatedNo published results0/6

No published results yet for Programmatic Reasoning. The 95 shown is estimated from Motif 3's other dimensions and will be replaced as results come in. How estimates work

LiveCodeBenchIOI V2Terminal-Bench 4.0ProgramBenchSWE-rebenchMirrorCode

Computer Use IQ 108 · estimatedNo published results0/5

No published results yet for Computer Use. The 108 shown is estimated from Motif 3's other dimensions and will be replaced as results come in. How estimates work

BrowseCompOSWorld-VerifiedMCP AtlasArena.ai Agent ArenaAgents' Last Exam

Reliability IQ 117 · measuredBest: #41 of 154 on AA Omniscience2/6

BenchmarkScorePercentileRankLeader · source

AA Omniscience

Artificial Analysis v4.3.2 · Oct 19

10.2

#41 / 154

Leader opus-5.5 · 46.4
Artificial Analysis v4.3.2 · Oct 19

AA Long Context Reasoning v1.1

Artificial Analysis v4.3.2 · Oct 19

76.0%

#80 / 150

Leader kimi-k3 · 88.7%
Artificial Analysis v4.3.2 · Oct 19

Not yet reported

SimpleQA VerifiedBullshitBench v2IFBenchFACTS Grounding

Knowledge Work IQ 113 · measuredBest: #49 of 107 on AA-Briefcase v1.1 Elo3/6

BenchmarkScorePercentileRankLeader · source

AA-Briefcase v1.1 Elo

Artificial Analysis v4.3.2 · Oct 19

992

#49 / 107

Leader sonnet-5.5 · 1,817
Artificial Analysis v4.3.2 · Oct 19

GDPval-AA v2.1 normalized score

Artificial Analysis v4.3.2 · Oct 19

30.9%

#57 / 121

Leader opus-5.5 · 68.3%
Artificial Analysis v4.3.2 · Oct 19

GDP.pdf

Artificial Analysis v4.3.2 · Oct 19

5.2%

#77 / 102

Leader Muse Wonder Full · 32.6%
Artificial Analysis v4.3.2 · Oct 19

Not yet reported

AutomationBench-AAAA-AnalystAgentEnterpriseOps-Gym-AA

Release & availability

Facts from the publisher's announcement and documentation.

Released: Aug 10, 2026
Developer: Motif
Access: Open weights on Hugging Face for local deployment
Weights: Open weightsDownloadable and self-hostable
Inputs: text
Context: 262,144 tokens
API price: No per-token rateNo standard hosted per-token price verified; downloadable research weights are available under the publisher license.

What Motif says

Motif 3 is a 314B-parameter mixture-of-experts model with 13.2B parameters active per token.
It supports a native 262k-token context window and emphasizes multilingual, agentic, coding, and reasoning workloads.

Limitations

MIT-licensed weights; hosted access and pricing depend on the selected provider.

Publisher statements, not AI IQ measurements.

Sourceshuggingface.co/Motif-Technologies/Motif-3 model-hub.motiftech.io/enarxiv.org/abs/2608.09119

About this score

How much of Motif 3's IQ is measured, and how the rest is estimated.

9/ 39benchmark results

3/ 7dimensions measured

4estimated

0/5Abstract

0/5Math

4/6Academic

0/6Coding

0/5Computer Use

2/6Reliability

3/6Knowledge 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

Abstract Reasoning, Mathematical Reasoning, Programmatic Reasoning and Computer Use have no published results yet, so their IQ is estimated from Motif 3'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 Motif 3

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

#1 overall

gpt-6.1-sol

IQ141 33 higherEffective cost$6.29

World (Other) #1

mistral-large-4

IQ119 11 higherEffective cost$9.28

Closest IQ

Nemotron 3.5 Super VL

IQ108 same IQ

Most similar profile

nemotron-3-ultra

IQ106 2 lowerEffective cost$2.12

#2 overall

opus-5.5

IQ141 33 higherEffective cost$35.67

#3 overall

Gemini 4 Argon

IQ140 32 higher

Motif 3Comparison model

Compare with any modelBrowse all comparisons →

Frequently asked questions

Quick answers about Motif 3, 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 Motif 3?: Motif 3 has an estimated IQ of 108, which ranks #85 out of 170 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 Motif 3 best at?: Among the dimensions with published benchmark results, Motif 3 ranks highest in Reliability (IQ 117, #55 of 170) and Knowledge Work (IQ 113, #65 of 170). Its lowest-ranked measured dimension is Academic Reasoning (IQ 123, #79 of 195).
What is the EQ of Motif 3?: Motif 3 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 Motif 3. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.
Which benchmarks has Motif 3 been tested on?: Motif 3 has published results on 9 of the 39 benchmarks behind AI IQ's Composite IQ, including AA Omniscience, Humanity's Last Exam, AA-Briefcase v1.1 Elo, CritPt and GDPval-AA v2.1 normalized score.
How much does Motif 3 cost?: AI IQ doesn't have a verified standard per-token API price for Motif 3, so it can't calculate an effective cost. This is common for models offered only through subscriptions, restricted-access programs, or self-hosting.
Is Motif 3 open source?: Yes — Motif 3 is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
Who developed Motif 3?: Motif 3 was developed by Motif, based in South Korea.
When was Motif 3 released?: Motif 3 was publicly released on August 10, 2026.
How large is the context window of Motif 3?: Motif 3 supports a context window of 262,144 tokens — the amount of text it can consider in a single request.
How fast is Motif 3?: AI IQ doesn't have independent speed measurements for Motif 3 yet. Speed comes from independent tests of a model's hosted API, which aren't available for every model — especially new, restricted-access, or self-hosted ones.