ذكاء نماذج الذكاء الاصطناعي

قدرة · 2026-11-12

نماذج ذكاء اصطناعي تدعم المخرجات المنظّمة

نماذج تدعم JSON mode أو مخرجات مطابقة للمخطط لأنابيب استخراج وتصنيف موثوقة.

ما هذا؟

  • المخرجات المنظّمة (JSON mode أو response_format=json_schema) تُلزم النموذج بإصدار مستند JSON يتوافق مع المخطط الذي تقدّمه.
  • على عكس طلب «أجب بصيغة JSON» في الموجّه، يُطبَّق هذا أثناء فك التشفير — لا يستطيع النموذج إصدار JSON غير صالح.

لماذا يهم

  • يقلّل أخطاء التحليل والبادئات مثل «بالتأكيد، إليك JSON…».
  • ضروري لأنابيب تغذّي أنظمة مُنمَّطة: استخراج، تصنيف، ملخصات منظّمة.

914 نماذج تدعم هذه القدرة

النموذجالناشرإدخال / 1Mإخراج / 1Mالسياقالمزودون
Qwen3.8 27BAlibaba (Qwen)$0.001$0.0011.05M51
Llama 3.2 3B InstructMeta$0.020$0.020131K7
Gemma 4 26B A4B ITGoogle$0.010$0.031262K23
Llama-3.1-8B-InstructMeta$0.020$0.030131K14
Mistral NemoMistral$0.029$0.030131K6
inclusionAI: Ling 3.0 Tinykilo$0.015$0.045262K1
Ling 3.0 Tinyopenrouter$0.015$0.045262K1
Llama 3 8B LunarisMeta$0.040$0.0508K3
Qwen3.5 9BAlibaba (Qwen)$0.040$0.060262K21
gpt-oss-20bOpenAI$0.018$0.090131K32
Llama-3.2-11B-Vision-Instruct (Deep Infra)Meta$0.055$0.055131K4
Qwen3.5 4BAlibaba (Qwen)$0.040$0.070262K5
GLM Flash LatestZ.AI / Zhipu$0.040$0.0781.05M4
Nex AGI: Nex-N2.5-Minikilo$0.025$0.100262K1
Nex N2.5 Mininano-gpt$0.025$0.100262K1
Nex-N2.5-Miniopenrouter$0.025$0.100262K1
Mistral Small 3Mistral$0.050$0.08033K6
DeepSeek V4 Flash 0731DeepSeek$0.045$0.0901.05M54
Nemotron 3.5 Lightning 30B A3BNVIDIA$0.025$0.120262K5
DeepSeek-V4.1-FlashDeepSeek$0.030$0.1201M72
DeepSeek V4.1 Flash 1017DeepSeek$0.030$0.1201.05M60
Gemma 3 12B ITGoogle$0.050$0.100131K13
Qwen3.7 FlashAlibaba (Qwen)$0.030$0.1301M13
Nova Micro (US)edenai$0.035$0.140128K1
Nova Microedenai$0.035$0.140128K1
gpt-oss-120bOpenAI$0.030$0.150131K51
Inference.net: Schematron V2 Turbokilo$0.030$0.150128K1
Schematron V2 Turbonano-gpt$0.030$0.150128K1
Schematron V2 Turbovercel$0.030$0.150128K1
Schematron V2 Turboopenrouter$0.030$0.150128K1
Command R7BCohere$0.037$0.150128K6
Command R7B ArabicCohere$0.037$0.150128K1
MythoMax 13Bkilo$0.080$0.1104K1
Mercury 2.5 Previewinception$0.040$0.150260K1
MythoMax L2 13Bopenrouter$0.080$0.1108K1
Schematron V2 Turboaimlapi$0.032$0.159128K1
Nova Micro 1.0cortecs$0.040$0.159128K1
Ministral 3 3BMistral$0.100$0.100131K8
Nemotron 3.5 Lightning 30B A3BNVIDIA$0.050$0.150262K7
Reka Edge 2603 (reka-ai)llmgateway-providers$0.100$0.10016K1
Reka Edgekilo$0.100$0.10016K1
Ministral 3B (latest)Mistral$0.100$0.100131K1
Reka Edge 2603llmgateway$0.100$0.10016K1
Ministral 3Bllmgateway$0.100$0.100131K1
Reka Edgeopenrouter$0.100$0.10016K1
IBM: Granite 4.2 8Bkilo$0.060$0.150131K1
Granite 4.2 8Bnano-gpt$0.060$0.150131K1
Reka Edge 2603nano-gpt$0.105$0.10516K1
Granite 4.2 8Bwandb$0.060$0.150131K1
Granite 4.2 8Bopenrouter$0.060$0.150131K1
PrismML: Ternary Bonsai 2 9Bkilo$0.080$0.130262K1
Ternary Bonsai 2 9Bopenrouter$0.080$0.130262K1
Reka Edgeaimlapi$0.106$0.10616K1
GPT OSS 20Bcortecs$0.045$0.167131K1
GPT OSS 20B (OVHcloud)edenai$0.050$0.180131K3
GPT OSS 20Bllmgateway$0.040$0.190131K1
GPT OSS 120Bkenari$0.036$0.200131K1
Gemma 3 27B ITGoogle$0.080$0.160131K19
Ling 3.0 Flash VL (DeepInfra)llmgateway-providers$0.060$0.180131K1
inclusionAI: Ling 3.0 Flash VLkilo$0.060$0.180131K1

عرض أول 60 من إجمالي 914. استخدم الفهرس الكامل لمزيد من التصفية.

Frequently asked questions

How many AI models support إخراج منظم?

914 canonical models in our database currently support إخراج منظم. 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 إخراج منظم?

Qwen3.8 27B from Alibaba (Qwen) is currently the lowest-priced option, at $0.001 per 1M input tokens and $0.001 per 1M output tokens. The full table above is sorted price-ascending.

Which model with إخراج منظم has the largest context window?

Qwen Long (Alibaba (Qwen)) leads on context at 10M tokens. This may matter if you also need long-document understanding alongside إخراج منظم.

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-5.3-Flash (92), GLM-5.3 (92), GLM-5.2 (90).

How is إخراج منظم 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.

آخر تحديث:

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.