Prime IntellectReleased Nov 26, 2025
Open weights

intellect-3

Its best results are in Programmatic Reasoning (#82 of 177) and Mathematical Reasoning (#89 of 176); weakest in Reliability (#166 of 177). Three of seven dimensions are estimated, because no results are published yet.

Composite IQ ?
95
#147 of 176 ranked models · ahead of 17%
US (Other)'s #15 model, behind Beam (114)
Effective cost
$1.56/1M
$0.20 in · $1.10 out
Speed
Not measured
No speed data yet
Context
131Ktokens
131,000 tokens in
Evidence
4of 7 dims
10 of 39 benchmarks

IQ profile

Seven dimensions, averaged equally into Composite IQ
Compare shape with
100 avg human130160● Abstract75#181 · est.● Math111#89● Academic108#142● Coding113#82● Computer Use75#152 · est.● Reliability91#166● Knowledge Work90#160 · est.
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
75estimated
#181 / 201
0/5
-51.5
111measured
#89 / 176
1/5
-36
108measured
#142 / 203
4/6
-27.5
113measured
#82 / 177
1/6
-36.5
75estimated
#152 / 176
0/5
-68
91measured
#166 / 177
4/6
-43
90estimated
#160 / 176
0/6
-41.5
intellect-395% range (model-based, uncalibrated)Top-10 median#1 in dimension100 = average human

Benchmark results

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

Abstract Reasoning IQ 75 · estimatedNo published results0/5
No published results yet for Abstract Reasoning. The 75 shown is estimated from intellect-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 111 · measuredBest: #30 of 56 on AIME1/5
BenchmarkScorePercentileRankLeader · source
88.0%
#30 / 56
Leader gemini-3.1-pro · 98.1%
Not yet reported
FrontierMath Tier 4FrontierMath Tier 1-3ProofBench 1.1MathArena
Academic Reasoning IQ 108 · measuredBest: #126 of 167 on SciCode4/6
BenchmarkScorePercentileRankLeader · source
SciCode
Artificial Analysis model leaderboard · Sep 10
39.0%
#126 / 167
Leader opus-5.5 · 66.9%
Artificial Analysis model leaderboard · Sep 10
GPQA Diamond
Artificial Analysis v4.3.2 · Oct 27
76.1%
#117 / 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
13.1%
#134 / 167
Leader opus-5.5 · 61.4%
Artificial Analysis v4.3.2 · Oct 27
CritPt
Artificial Analysis v4.3.2 · Oct 27
0.3%
#129 / 159
Leader Muse Wonder Full · 32.9%
Artificial Analysis v4.3.2 · Oct 27
Not yet reported
MMLU-ProMMMU-Pro
Programmatic Reasoning IQ 113 · measuredBest: #40 of 61 on LiveCodeBench1/6
BenchmarkScorePercentileRankLeader · source
LiveCodeBench
Vals.ai · Aug 4
78.0%
#40 / 61
Leader Fugu Ultra v1.0 · 93.2%
Vals.ai · Aug 4
Not yet reported
IOI V2Terminal-Bench 4.0ProgramBenchSWE-rebenchMirrorCode
Computer Use IQ 75 · estimatedNo published results0/5
No published results yet for Computer Use. The 75 shown is estimated from intellect-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 91 · measuredBest: #143 of 154 on AA Long Context Reasoning v1.14/6
BenchmarkScorePercentileRankLeader · source
AA Long Context Reasoning v1.1
Artificial Analysis v4.3.2 · Oct 27
39.7%
#143 / 154
Leader kimi-k3 · 88.7%
Artificial Analysis v4.3.2 · Oct 27
AA Omniscience
Artificial Analysis v4.3.2 · Oct 27
-50.8
#150 / 158
Leader opus-5.5 · 46.4
Artificial Analysis v4.3.2 · Oct 27
IFBench
Artificial Analysis v4.3.2 · Oct 27
34.0%
#94 / 96
Leader minimax-m3 · 82.9%
Artificial Analysis v4.3.2 · Oct 27
BullshitBench v2
Full source leaderboard reconciliation · Oct 23
5.0%
#82 / 83
Leader opus-4.8 · 94.0%
Full source leaderboard reconciliation · Oct 23
Not yet reported
SimpleQA VerifiedFACTS Grounding
Knowledge Work IQ 90 · estimatedNo published results0/6
No published results yet for Knowledge Work. The 90 shown is estimated from intellect-3's other dimensions and will be replaced as results come in. How estimates work
AA-Briefcase v1.1GDPval-AA v2.1AutomationBench-AAGDP.pdfAA-AnalystAgentEnterpriseOps-Gym-AA

Release & availability

Release details on record for this model.

Released
Weights
Open weightsDownloadable and self-hostable
Context
131,000 tokens
API price
$0.20 in · $1.10 outper 1M tokens · full pricing

About this score

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

10/ 39benchmark results
4/ 7dimensions measured
3estimated
0/5Abstract
1/5Math
4/6Academic
1/6Coding
0/5Computer Use
4/6Reliability
0/6Knowledge 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, Computer Use and Knowledge Work have no published results yet, so their IQ is estimated from intellect-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 intellect-3

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

intellect-3Comparison model
Browse all comparisons →

Frequently asked questions

Quick answers about intellect-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 intellect-3?
intellect-3 has an estimated IQ of 95, which ranks #147 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 intellect-3 best at?
Among the dimensions with published benchmark results, intellect-3 ranks highest in Programmatic Reasoning (IQ 113, #82 of 177) and Mathematical Reasoning (IQ 111, #89 of 176). Its lowest-ranked measured dimension is Reliability (IQ 91, #166 of 177).
What is the EQ of intellect-3?
intellect-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 intellect-3. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.
Which benchmarks has intellect-3 been tested on?
intellect-3 has published results on 10 of the 39 benchmarks behind AI IQ's Composite IQ, including AIME, LiveCodeBench, SciCode, GPQA Diamond and Humanity's Last Exam.
How much does intellect-3 cost?
intellect-3 costs $0.20 per million input tokens and $1.10 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $1.56 per million input-plus-output tokens.
Is intellect-3 open source?
Yes — intellect-3 is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
Who developed intellect-3?
intellect-3 was developed by Prime Intellect, based in the United States.
When was intellect-3 released?
intellect-3 was publicly released on November 26, 2025.
How large is the context window of intellect-3?
intellect-3 supports a context window of 131,000 tokens — the amount of text it can consider in a single request.
How fast is intellect-3?
AI IQ doesn't have independent speed measurements for intellect-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.