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HomeBenchmarksstructured outputInternal API instruction following (hard)

structured output benchmark

Internal API instruction following (hard)

Internal API instruction following (hard) benchmark - specific documentation not found in official sources

Updated Aug 7, 2026

Published models7
Registry coverage7
MetricScore
EvidenceB

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Internal API instruction following (hard) leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

7 rows
Columns

Show columns

1OPGPT-5OpenAI64.0%100.0%7CAug 7, 2026
2OPGPT-4.5OpenAI54.0%83.3%7CAug 7, 2026
3OPo3-miniOpenAI50.0%66.7%7CAug 7, 2026
4OPGPT-4.1OpenAI49.1%50.0%7CAug 7, 2026
5OPGPT-4.1 miniOpenAI45.1%33.3%7CAug 7, 2026
6OPGPT-4.1 nanoOpenAI31.6%16.7%7CAug 7, 2026
7OPGPT-4oOpenAI29.2%0.0%7CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

Internal API instruction following (hard)

Internal API instruction following (hard) highlights

The top published results on this benchmark's own scale.

Rank #1GPT-564.0%Rank #2GPT-4.554.0%Rank #3o3-mini50.0%Rank #4GPT-4.149.1%

What is Internal API instruction following (hard)?

Definition and scoring fields from the benchmark registry.

Internal API instruction following (hard) benchmark - specific documentation not found in official sources

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

Family
Internal API instruction following (hard)
Modality
text
Primary category
structured output
Score direction
higher
LLMBoard eligible
No
Evaluation key
internal-api-instruction-following-(hard)|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about Internal API instruction following (hard).

Which model scores highest on Internal API instruction following (hard)?

GPT-5 is currently ranked first with 64.0%.

What does Internal API instruction following (hard) measure?

Internal API instruction following (hard) benchmark - specific documentation not found in official sources

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

7 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

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