ذكاء نماذج الذكاء الاصطناعي

قدرة · 2026-11-12

نماذج ذكاء اصطناعي بأوزان مفتوحة

نماذج تنشر أوزانها المدرّبة بموجب ترخيص — استضافة ذاتية، ضبط دقيق، وبيئات منظّمة.

ما هذا؟

  • نماذج الأوزان المفتوحة تنشر أوزانها (غالبًا بموجب Apache 2.0 أو MIT أو ترخيص بحثي مفتوح).
  • ملاحظة: أوزان مفتوحة لا تعني مفتوحة المصدر — بيانات التدريب والكود عادةً لا تُنشر.

لماذا يهم

  • استضافة ذاتية على وحدات GPU الخاصة بك، ضبط دقيق على بيانات خاصة، تشغيل دون اتصال، نشر في بيئات منظّمة.
  • يعرض الجدول أرخص مضيف API — بأجهزتك الخاصة يمكن تشغيل نفس النموذج دون تكلفة API.

931 نماذج تدعم هذه القدرة

النموذجالناشرإدخال / 1Mإخراج / 1Mالسياقالمزودون
Qwen3.8 27BAlibaba (Qwen)$0.001$0.0011.05M51
Ambient Smallambient$0.001$0.001101K1
Whisper Large v3OpenAI$0.002$0.0024483
Voxtral Mini 3Bprivatemode-ai$0.005Unknown32K1
Multi-QA-mpnet-base-dot-v1digitalocean$0.009Unknown5121
All-MiniLM-L6-v2digitalocean$0.009Unknown2561
Qwen3 Embedding 8BAlibaba (Qwen)$0.010Unknown33K8
Qwen3 Embedding 4BAlibaba (Qwen)$0.010Unknown33K4
BGE Reranker V2 M3novita-ai$0.010Unknown8K1
BGE M3novita-ai$0.010Unknown8K1
BGE Reranker v2 M3digitalocean$0.010Unknown8K1
Nomic Embed Text v1.5tinfoil$0.016Unknown8K1
Whisper large-v3privatemode-ai$0.016Unknown4481
Llama 3.2 1B InstructMeta$0.010$0.01060K6
Qwen3 Embedding 0.6BAlibaba (Qwen)$0.010$0.01033K3
Prompt Guard 2 86MMeta$0.010$0.0105123
Llama Prompt Guard 2 22MMeta$0.010$0.0105123
E5 Large v2digitalocean$0.020Unknown5121
BGE M3digitalocean$0.020Unknown8K1
GLiNER 2.5 Basepioneer$0.030Unknown4K1
GLiNER2 Multi Largepioneer$0.030Unknown8K1
GLiNER-2.5-Decidepioneer$0.030Unknown8K1
GLiNER2 Basepioneer$0.030Unknown2K1
GLiNER2 Privacy Filter PII (Multi)pioneer$0.030Unknown8K1
GLiNER2 Largepioneer$0.030Unknown8K1
GLiNER2 Multipioneer$0.030Unknown8K1
GLiNER 2.5 Multipioneer$0.030Unknown4K1
Llama 3.2 3B InstructMeta$0.020$0.020131K7
PaddleOCR VLnovita-ai$0.020$0.02016K1
Gemma 4 26B A4B ITGoogle$0.010$0.031262K23
Llama-3.1-8B-InstructMeta$0.020$0.030131K14
Meta Llama 3.1 8B Instruct TurboMeta$0.020$0.030128K1
Mistral NemoMistral$0.029$0.030131K6
DeepSeek OCR 2DeepSeek$0.030$0.0308K3
Mistral NemoMistral$0.020$0.04016K3
Ling 3.0 Tinyopenrouter$0.015$0.045262K1
Ministral 3Bazure-cognitive-services$0.040$0.040128K1
Ministral 3Bazure$0.040$0.040128K1
Ling 3.0 Flashvercel$0.021$0.063256K1
Ling 3.0 Flashopenrouter$0.021$0.063262K1
Gemma 3 4B ITGoogle$0.040$0.050131K11
Llama 3 8B LunarisMeta$0.040$0.0508K3
GTE Large (v1.5)digitalocean$0.090Unknown8K1
Qwen3.5 9BAlibaba (Qwen)$0.040$0.060262K21
Qwen2.5 7B Instruct (Deep Infra)Alibaba (Qwen)$0.050$0.05033K3
gpt-oss-20bOpenAI$0.018$0.090131K32
Llama-3.2-11B-Vision-Instruct (Deep Infra)Meta$0.055$0.055131K4
Llama-Guard-3-8B (Cloudflare)Meta$0.055$0.055131K3
Qwen3.5 4BAlibaba (Qwen)$0.040$0.070262K5
Nex N2.5 Mininano-gpt$0.025$0.100262K1
Nex-N2.5-Miniopenrouter$0.025$0.100262K1
Granite 4.0 H Microcloudflare-workers-ai$0.017$0.112131K1
Mistral Small 3Mistral$0.050$0.08033K6
Llama 3.1 8BMeta$0.050$0.080131K2
DeepSeek V4 Flash 0731DeepSeek$0.045$0.0901.05M54
Baichuan M2 32Bnovita-ai$0.070$0.070131K1
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
LFM2-24B-A2Btogetherai$0.030$0.12033K1

عرض أول 60 من إجمالي 931. استخدم الفهرس الكامل لمزيد من التصفية.

Frequently asked questions

How many AI models support أوزان مفتوحة?

931 canonical models in our database currently support أوزان مفتوحة. 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 أوزان مفتوحة?

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 أوزان مفتوحة has the largest context window?

Llama 4 Scout 17B Instruct (US) (Meta) leads on context at 10M tokens. This may matter if you also need long-document understanding alongside أوزان مفتوحة.

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 أوزان مفتوحة different from a regular LLM?

Open-weight models publish their trained weights publicly. You can self-host on your own GPUs, fine-tune on private data or run offline. Note: open weights ≠ open source — training data and code are usually not released.

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.