Building a 1,500+ artifact benchmark to evaluate SOTA model performance across enterprise document formats

Built a large-scale artifact generation benchmark, generating and validating document and infographic artifacts across different output formats, AI providers, and query complexity levels. The project delivered a model- and format-aware benchmark dataset with a 99.9% artifact acceptance rate, providing clean signal for evaluating enterprise-grade artifact generation capabilities.

1,500+

artifacts generated and validated across PPTX, HTML, DOCX, PDF, JSON, Excel, CSV, TXT, and infographics.

99.9%

artifact acceptance rate achieved, reflecting strong execution discipline and format compliance enforcement at scale.

4

query complexity levels covered, testing model performance from basic generation through high-complexity enterprise instruction-following.

MethodEvaluation
DomainMultimodality
Dataset scale1,500+ artifacts
CapabilityBenchmarks

FAQ

What artifact formats and providers were covered?

The benchmark covered PPTX, HTML, DOCX, PDF, JSON, Excel, CSV, TXT, and infographics across providers, including Claude, Gemini, OpenAI, Microsoft 365, Perplexity, Flux, and NanoBanana.

What query complexity levels were included?

Four levels: open (short, topic-based), format-constrained (layout and structure requirements), content-specific (data points and regulatory details), and complex (high-specificity enterprise prompts with multiple constraints)

How were failures handled and classified?

Every failed or partial run was classified using a ten-category failure taxonomy covering no artifact generated, wrong format, download failure, provider error, safety refusal, timeout, file upload failure, corrupt file, partial output, and clarification loop.

What’s the NDA process?

A standard mutual NDA. Turing provides the countersigned agreement within one business day.

How fast can I get a sample?

Within three business days after NDA execution.

Evaluating AI providers for enterprise artifact generation capability?

Work with Turing to design and execute format-aware benchmarks across providers, complexity levels, and document types.

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