能力 · 2026-08-14
支援結構化輸出的 AI 模型
對比支援 JSON mode / 結構化輸出的 AI 模型 —— 資料抽取、分類與結構化摘要等管道更穩。
這是什麼？
- 結構化輸出（也稱 JSON mode 或 response_format=json_schema）將模型約束為你提供的 schema 所匹配的 JSON 文件。
- 不同於提示裡寫「請用 JSON 回覆」，結構化輸出在解碼階段強制約束 —— 模型無法輸出非法 JSON。
為什麼重要
- 可避免 JSON 解析錯誤和「好的，這是 JSON：…」這類越獄前綴。
- 對任何把 LLM 輸出接到型別化系統的流程都至關重要：抽取、分類、結構化摘要等。
515 個模型支援此能力
顯示前 60 項，共 515 項。 用 完整目錄 進一步篩選。
Frequently asked questions
How many AI models support 結構化輸出?
515 canonical models in our database currently support 結構化輸出. The list is regenerated on every data refresh, so it always reflects the latest releases tracked in our catalogue.
What is the cheapest model with 結構化輸出?
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 結構化輸出 has the largest context window?
Pokee-Isaac 28B (nano-gpt) leads on context at 10M tokens. This may matter if you also need long-document understanding alongside 結構化輸出.
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: GLM-5.2 (75), Kimi K2.6 (63), DeepSeek V4 Pro (55).
How is 結構化輸出 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 syncs 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
- Llama 3.2 3B Instruct$0.02 in / $0.02 out
- Ling-2.6-flash$0.01 in / $0.03 out
- Llama 3.1 8B Instruct$0.02 in / $0.03 out
- Mistral Nemo Instruct 2407$0.02 in / $0.03 out
Other capabilities
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Pricing comparisons
Vendors in this list
最近更新：
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.