Возможность · 2026-05-12
AI Models with Structured Output Support
AI models that support JSON mode / structured output for reliable data extraction.
Что это?
- Structured output (sometimes called JSON mode or response_format=json_schema) constrains the model to emit a JSON document that matches a schema you provide.
- Unlike a plain prompt that says "reply in JSON", structured output is enforced at decode time — the model literally cannot emit invalid JSON.
Зачем это важно
- It eliminates JSON parsing errors and jailbreak prefixes like "Sure! Here's the JSON: ...".
- It is essential for any pipeline that pipes LLM output into a typed system: data extraction, classification, structured summarisation.
206 моделей с этой возможностью
Показаны первые 60 из 206. Перейдите к полному каталогу для дополнительной фильтрации.
Frequently asked questions
How many AI models support структурированный вывод?
206 canonical models in our database currently support структурированный вывод. The list is regenerated on every data refresh, so it always reflects the latest model releases from models.dev.
What is the cheapest model with структурированный вывод?
Voxtral Small 24B 2507 from Mistral is currently the lowest-priced option, at $0.002 per 1M input tokens and $0.002 per 1M output tokens. The full table above is sorted price-ascending.
Which model with структурированный вывод has the largest context window?
GPT-5.4 (OpenAI) leads on context at 1.05M tokens. This may matter if you also need long-document understanding alongside структурированный вывод.
Which models are available on the most providers?
Production-readiness usually correlates with how many independent providers host the same weights. The top three by provider count are: Kimi K2.5 (45), GPT OSS 120B (33), GLM-5.1 (33).
How is структурированный вывод different from a regular LLM?
Structured output (a.k.a. JSON mode / response_format=json_schema) constrains the model at decode time so it cannot emit invalid JSON. This is stricter than just prompting 'reply in JSON' and removes a whole class of parsing errors.
How often is this list updated?
Daily. Our data pipeline pulls models.dev once a day, regenerates the canonical model list, and rebuilds these pages so newly released models appear within 24 hours.
Explore more
Top models with this capability
- Voxtral Small 24B 2507$0.00 in / $0.00 out
- dots.ocr$0.01 in / $0.01 out
- Hermes 4 14B$0.01 in / $0.05 out
- Sao10k L3 8B Lunaris $0.05 in / $0.05 out
- Gemma 3 12B$0.03 in / $0.10 out
Other capabilities
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Pricing comparisons
Последнее обновление:
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.