# StructEval text-format subset (StructEval-T)

> Measures whether a model produces valid structured output in text formats such as JSON, YAML and CSV.

Canonical page: https://benchlm.ai/benchmarks/structevalt

- Category: [Instruction Following](/instruction-following)
- Last updated: October 29, 2026

## About StructEval-T

- Year: 2025
- Tasks: Structured-output generation and conversion
- Format: Average accuracy
- Difficulty: Valid structured output
- Paper: [StructEval](https://structeval.github.io/)

NVIDIA reports it for Nemotron 3.5 Bolt E4B (October 23, 2026), run in its NeMo Gym harness, as average accuracy on the text-only subset in reasoning mode. StructEval also has a renderable-format subset that is not stored here.

StructEval-T is currently displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.

## Leaderboard (2 models)

| Rank | Model | Creator | Score |
|------|-------|---------|-------|
| 1 | [Nemotron 3.5 Bolt E4B BF16](/models/nemotron-3-5-bolt-e4b-bf16) | NVIDIA | 80.40% |
| 2 | [Nemotron 3.5 Bolt E4B](/models/nemotron-3-5-bolt-e4b) | NVIDIA | 79.99% |

## FAQ

### What does StructEval-T measure?

Measures whether a model produces valid structured output in text formats such as JSON, YAML and CSV.

### Which model scores highest on StructEval-T?

Nemotron 3.5 Bolt E4B BF16 by NVIDIA currently leads with a score of 80.40% on StructEval-T.

### How many models are evaluated on StructEval-T?

2 AI models have published results on StructEval-T in the BenchLM catalog.

### Does StructEval-T affect BenchLM's overall score?

Not directly. StructEval-T is still displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.

## Compare Top Models on StructEval-T

- [Nemotron 3.5 Bolt E4B BF16 vs Nemotron 3.5 Bolt E4B](/compare/nemotron-3-5-bolt-e4b-vs-nemotron-3-5-bolt-e4b-bf16)