IFStruct
We show this table for reference; we do not rank on it.
Liquid AI benchmark of following structured-output instructions, such as producing output that matches a requested schema or format.
Benchmark score on IFStruct — October 29, 2026
We compile the IFStruct rows from provider self-reports. LFM3-1.7B is the only currently displayable sourced row, at 93.72%. We do not use these results to rank models overall.
1 modelInstruction FollowingCurrentDisplay onlyUpdated October 29, 2026
Benchmark score table (1 model)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | LFM3-1.7BLiquidAI | 93.72% | Not reported | Open |
How to read this leaderboard
Operator receipt: 1 sourced row is currently displayable on this page; the only currently displayable sourced row is LFM3-1.7B at 93.72%.
Honest limit: Only Liquid AI-run results are stored so far, from one launch table. Display-only and excluded from weighted ranking.
About IFStruct
Year
2026
Tasks
Structured-output instructions
Format
Accuracy
Difficulty
Exact format and schema compliance
Liquid AI built IFStruct and reports it for LFM3-1.7B (October 27, 2026). Because the model's developer also owns the benchmark, read the result as a first-party measurement.
Freshness and provenance
Version
IFStruct 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does IFStruct measure?
Liquid AI benchmark of following structured-output instructions, such as producing output that matches a requested schema or format.
Which model scores highest on IFStruct?
LFM3-1.7B by LiquidAI currently leads with a score of 93.72% on IFStruct.
How many models are evaluated on IFStruct?
1 AI models have published results on IFStruct in the BenchLM catalog.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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