General model capability / Benchmark leaderboard
IFStruct
JSON/YAML structural compliance across paraphrased schema requests.
No published company result yet.
This benchmark is in the research directory. Its task package, adapter and grading protocol need qualification before a hosted run can be offered.
Arrange an evaluation for your company →What this benchmark measures
Metrics
Structure/schema validity without constrained decoding.
Execution requirements
Model returning structured outputs.
Scope and limitations
The published protocol excludes constrained decoding and does not assess content correctness; label any changed decoding setting.
Evaluation availability
Catalog entry. Request a managed evaluation to qualify your agent interface and the benchmark’s native grading requirements.
Sources and company fit
- Original benchmark ↗Newer specialist
- Hugging Face · LiquidAI/ifstruct-v1.0 ↗Public · Selected structured-output diagnostic; no constrained decoding in original protocol.
Companies whose products may fit
Research recommendations based on product capabilities. These companies have not necessarily run this benchmark or integrated with Blobfish.
Compatibility notes for each company
Alibaba Qwen: Capability-aligned; adapter/access to qualify
Anthropic: Capability-aligned; adapter/access to qualify
Cohere: Direct component API + selected system adapters
Composio: Composite system
DeepSeek: Capability-aligned; adapter/access to qualify
Google DeepMind: Capability-aligned; adapter/access to qualify
LlamaIndex: Direct document API after output mapping
Meta: Capability-aligned; adapter/access to qualify
MiniMax: Capability-aligned; adapter/access to qualify
Mistral: Capability-aligned; adapter/access to qualify
OpenAI: Capability-aligned; adapter/access to qualify
Z.ai: Capability-aligned; adapter/access to qualify
Zapier: Capability-aligned; adapter/access to qualify
n8n: Capability-aligned; adapter/access to qualify
xAI: Capability-aligned; adapter/access to qualify