MicrosoftReleased Oct 13, 2026
NewOpen weights

AesCode-32B

AesCode-32B doesn't have a Composite IQ yet. A score needs measured results in at least two of the seven dimensions, and none have published results so far.

Composite IQ ?
—
Not yet ranked
0 of 7 dimensions measured; at least 2 are needed.
Effective cost
Not priced
No standard API rate
Speed
Not measured
No speed data yet
Context
Unverified
Not in publisher docs
Evidence
0of 7 dims
0 of 39 benchmarks

IQ profile

Seven dimensions, averaged equally into Composite IQ
100 avg human130160● Abstract● Math● Academic● Coding● Computer Use● Reliability● Knowledge Work
Profile not available yetThe radar appears once at least two dimensions have measured benchmark results.

IQ dimensions

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

DimensionIQPosition · 70–160RankEvidencevs Top 10
100estimated
#157 / 187
0/6
-35.5
AesCode-32BTop-10 median#1 in dimension100 = average human

Benchmark results

0 of 39 Composite IQ benchmarks have a published result for AesCode-32B. Benchmarks without a result stay listed so gaps are visible.

Abstract Reasoning no scoreNo published results0/5
No published results yet for Abstract Reasoning. How estimates work
ARC-AGI-3ARC-AGI-2ARC-AGI-1Chess PuzzlesMystery Game Puzzles
Mathematical Reasoning no scoreNo published results0/5
No published results yet for Mathematical Reasoning. How estimates work
FrontierMath Tier 4FrontierMath Tier 1-3ProofBench 1.1MathArenaAIME
Academic Reasoning IQ 100 · estimatedNo published results0/6
No published results yet for Academic Reasoning. The 100 shown is estimated from AesCode-32B's other dimensions and will be replaced as results come in. How estimates work
Humanity's Last ExamGPQA DiamondCritPtSciCodeMMLU-ProMMMU-Pro
Programmatic Reasoning no scoreNo published results0/6
No published results yet for Programmatic Reasoning. How estimates work
LiveCodeBenchIOI V2Terminal-Bench 4.0ProgramBenchSWE-rebenchMirrorCode
Computer Use no scoreNo published results0/5
No published results yet for Computer Use. How estimates work
BrowseCompOSWorld-VerifiedMCP AtlasArena.ai Agent ArenaAgents' Last Exam
Reliability no scoreNo published results0/6
No published results yet for Reliability. How estimates work
SimpleQA VerifiedaaOmniscienceBullshitBench v2IFBenchAA Long Context Reasoning v1.1FACTS Grounding
Knowledge Work no scoreNo published results0/6
No published results yet for Knowledge Work. How estimates work
AA-Briefcase v1.1GDPval-AA v2.1AutomationBench-AAGDP.pdfAA-AnalystAgentEnterpriseOps-Gym-AA

Release & availability

Facts from the publisher's announcement and documentation.

Released
Developer
Microsoft
Access
Microsoft publishes downloadable AesCode-32B weights for local inference on Hugging Face.
Weights
Open weightsDownloadable and self-hostable
Inputs
textimage
Context
Not publishedA maximum input-context limit has not been verified.
API price
No per-token rateNo current standard hosted token price verified; downloadable weights do not establish a free hosted API.

What Microsoft says

  • Microsoft’s AesCode-32B is a Qwen3-VL-32B-Instruct derivative for generating editable HTML/CSS slides, posters, dashboards and reports.
  • The dated October 13 research publication introduces both released sizes; reference images provide optional visual guidance.

Limitations

  • Weights are labeled Apache 2.0; the separate training-code repository uses MIT.
  • A specialized visual-code model; no comparable independent IQ results, hosted pricing or speed measurements verified.
  • The publisher’s 24,576-token evaluation context is a tested workload, not a verified maximum input limit.

Publisher statements, not AI IQ measurements.

About this score

How much of AesCode-32B's IQ is measured, and how the rest is estimated.

0/ 39benchmark results
0/ 7dimensions measured
1estimated
0/5Abstract
0/5Math
0/6Academic
0/6Coding
0/5Computer Use
0/6Reliability
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

Academic Reasoning has no published results yet, so its IQ is estimated from AesCode-32B'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 AesCode-32B

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

AesCode-32BComparison model
Browse all comparisons →

Frequently asked questions

Quick answers about AesCode-32B, 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 AesCode-32B?
AesCode-32B does not yet have an estimated IQ. AI IQ publishes a composite score once a model has source-backed benchmark results in at least two of its seven capability dimensions.
What is AesCode-32B best at?
There isn't any published benchmark data to judge that yet. None of the seven dimensions AI IQ scores has a measured result for AesCode-32B, so its strengths and weaknesses can't be compared with other models.
What is the EQ of AesCode-32B?
AesCode-32B 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 AesCode-32B. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.
Which benchmarks has AesCode-32B been tested on?
None yet. AesCode-32B has no published results on the 39 benchmarks behind AI IQ's Composite IQ. AI IQ only uses published, source-backed results, so its profile fills in as evaluations of this model appear.
How much does AesCode-32B cost?
AI IQ doesn't have a verified standard per-token API price for AesCode-32B, so it can't calculate an effective cost. This is common for models offered only through subscriptions, restricted-access programs, or self-hosting.
Is AesCode-32B open source?
Yes — AesCode-32B is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
Who developed AesCode-32B?
AesCode-32B was developed by Microsoft, based in the United States.
When was AesCode-32B released?
AesCode-32B was publicly released on October 13, 2026.
How large is the context window of AesCode-32B?
AI IQ hasn't verified an input context limit for AesCode-32B from its developer's documentation, so none is listed rather than guessing.
How fast is AesCode-32B?
AI IQ doesn't have independent speed measurements for AesCode-32B 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.