ctxdexSynthetic model data for learning

Benchmark definition

SimpleBench

ActiveEstablishedCommon useSIMPLEBENCH

A text multiple-choice benchmark of over 200 everyday reasoning questions where non-specialized human performance was intended to remain stronger than frontier models at introduction.

Applicability does not mean evaluated; benchmark result/model score data is outside this UI contract.

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About

Description
SimpleBench emphasizes spatiotemporal reasoning, social intelligence, and adversarial/trick questions grounded in everyday understanding rather than specialist knowledge.
What it measures
Everyday commonsense, social, and spatiotemporal reasoning under adversarial multiple-choice prompts.
Comparison guidance
Not published
Intended difficulty
Not published

Not recorded for this benchmark: what it does not measure, why it matters, motivation, gap addressed.

Classification

Categories
CommonsenseGeneral reasoning
Domains
Everyday / commonsense world
Evaluation style
Automatic reference matchStatic Q&A

Structure

One undivided item set. No components or scenarios recorded.

Tasks

None recorded

Metrics

What a result on this benchmark would be reported as. ctxdex does not carry results.

MetricRoleDirectionUnit
Accuracy
PrimaryHigher is betterPercent

Methodology

Published SimpleBench settingsThis definition

The public benchmark site reports repeated-sample aggregate scoring and settings including temperature 0.7 and top-p 0.95 for most models; exact versioned methodology should be captured per dataset release.

Evaluation environment

What the benchmark's harness provides and allows. These are properties of the environment, not model requirements, and applicability does not test for them.

Interaction

None. Static prompts and answers.

Evaluation style
Automatic reference match, Static Q&A
Environment summary
Not published

Model requirements

Required conditions decide applicability. Relevant ones describe what the benchmark exercises and decide nothing.

Required · decides applicability

Whole benchmark
Text (input)Text (output)

Relevant · informational

Complex reasoningPhysical scene reasoningExplicit reasoningGeneral purpose modelsReasoning models

CTXDEX models

30 of the 58 active, preview, experimental models meet this benchmark’s recorded requirements, at some scope. Applicable means the requirements are met, not that the model was evaluated.

View all 30 applicable models →
Applicable · full
30
Applicable · components
0
Applicable · scenarios
0
Conditionally applicable
0
Not recorded
28

Counted over 58 models in the default lifecycle scope (active, preview, experimental).

Every required condition, for the whole benchmark, is recorded as supported. Each line is one recorded condition and why it counts.

  • Ctxdex Chintana 1 Large
    Ctxdex Efficient Reasoning
    Full benchmark

    Every one of the 2 required conditions is recorded as supported.

    • MODALITY:INPUT:TEXTthe catalogue records SUPPORTED for TEXT (input)
    • MODALITY:OUTPUT:TEXTthe catalogue records SUPPORTED for TEXT (output)
  • Ctxdex Chintana 1 Mini
    Ctxdex Efficient Reasoning
    Full benchmark

    Every one of the 2 required conditions is recorded as supported.

    • MODALITY:INPUT:TEXTthe catalogue records SUPPORTED for TEXT (input)
    • MODALITY:OUTPUT:TEXTthe catalogue records SUPPORTED for TEXT (output)
Preview holds 12 of 30. View all →

Applicability/relevance ordering only; never a performance ranking.

Scale

  • over 200
    Question
    Full benchmark · Source text

Data and access

Dataset
Partially open
Evaluation code
Open source
Unknown
Leaderboard, Peer review, Maintenance

Coverage

Languages, regions

None recorded

Coverage summary
Not published

Limitations

None recorded

Lineage

Family

None recorded

Related

None recorded

Changes

None recorded

Sources

Freshness

Content version
1.0
Last reviewed
2026-09-22
Refresh model
Static
Time sensitivity
Low
Benchmark data
c40cccac878af5d0

13 contract fields are empty for every benchmark in this release and are not shown: applicability groups, conditional requirements, feature requirements, model relevance domains, required capabilities, openness summary, reference artifacts, interaction protocols, tool protocols, benchmark last major refresh at, short name, target expertise level, target population.