شهد مجال نماذج اللغات الكبيرة (LLMs) تطوراً سريعاً، ومع تزايد المنافسة، يبرز كل من Llama 3 من Meta و Mistral Large من Mistral AI كلاعبين رئيسيين. كلا النموذجين مصممان لتقديم قدرات متقدمة في الذكاء الاصطناعي التوليدي، بدءاً من إنشاء المحتوى وصولاً إلى المساعدة في البرمجة. لكن أيهما الأنسب لاحتياجاتك؟ تستعرض هذه المقارنة العميقة أبرز الفروقات بينهما لمساعدتك على اتخاذ قرار مستنير.
Llama 3 · 0 criteria5 criteria · Mistral Large
Tie: 2 criteria
⚔️ Detailed comparison
| Criterion | Llama 3 | Mistral Large |
|---|---|---|
| Architecture and Model Size | Llama 3 is available in various sizes, notably 8B and 70B parameters, with larger models (up to 405B parameters) under development. It uses a Transformer architecture with enhanced attention mechanisms and a context window of up to 128,000 tokens. | ✓Mistral Large (version 24.07) is a dense model with 123 billion parameters, while Mistral Large 3 uses a Mixture-of-Experts (MoE) architecture with 675 billion total parameters (41 billion active). It features a large context window of up to 128,000 tokens in version 24.07 and 256,000 tokens in vers |
| Overall Performance and Capabilities | Llama 3 offers strong performance in natural language understanding, text generation, complex question answering, and content summarization. It excels in MMLU (Massive Multitask Language Understanding) and HumanEval (code generation) benchmarks. It also features improved reasoning and instruction fo | Mistral Large is known for its strong reasoning, knowledge, math, and code generation capabilities. It achieves competitive performance on MMLU, Math, and GSM8K benchmarks, often ranked as the second-best publicly available model after GPT-4 in some comparisons. It excels in advanced function callin |
| Multilingual Support | Llama 3 was trained on a massive dataset including non-English data from over 30 languages, specifically supporting English, French, German, Hindi, Italian, Portuguese, Spanish, and Thai in version 3.3. It features a nuanced understanding of linguistic subtleties. | ✓Mistral Large excels in native multilingual proficiency, fluent in English, French, Spanish, German, and Italian with a nuanced understanding of grammar and cultural context. It also supports dozens of other languages, including Arabic, Chinese, Japanese, and Korean. |
| Coding and Code Generation | Llama 3 has excellent capabilities in coding assistance and generating code snippets in various programming languages based on natural language descriptions. It demonstrates strong performance in benchmarks like HumanEval. | ✓Mistral Large is known for its strong coding and math skills, supporting over 80 coding languages such as Python, Java, C, C++, JavaScript, and Bash. It features advanced function calling and JSON formatting capabilities. |
| Ease of Use and Accessibility | Llama 3 is available as open-source models for commercial and research use (under specific terms), allowing for modification and self-hosting. Access to Llama 3 typically requires requesting approval from Meta. It integrates with tools like Hugging Face Transformers. | Mistral Large is available through Mistral's platform (la Plateforme) and Microsoft Azure. Some Mistral models are also open-weight under the Apache 2.0 or a research license, enabling self-hosting. |
| Cost (API estimated) | Cost varies by model size and provider. Llama 3 Instruct 70B costs around $0.65 per 1M input tokens and $2.75 per 1M output tokens. Llama 3.1 70B costs $2.68 for input and $3.54 for output per 1M tokens on Azure. | ✓Cost varies by version; Mistral Large 2 costs approximately $2.00 per 1M input tokens and $6.00 per 1M output tokens. The newer Mistral Large 3 costs $0.50 for input and $1.50 for output per 1M tokens, making it more cost-effective. |
| Multimodality | Official Llama 3 base models are text-only, although newer versions like Llama 3.2 have begun to offer multimodal capabilities (e.g., image interpretation). | ✓Mistral Large 3 supports multimodal inputs, including image understanding alongside text generation. This makes it suitable for applications requiring both text and visual processing. |
🏆 Winner: Mistral Large
في حين أن Llama 3 يقدم أداءً قوياً وقابلية للتوسع بكونه نموذجاً مفتوح المصدر جزئياً، فإن Mistral Large يتفوق في دعم اللغات المتعددة الأصلي وقدرات البرمجة المتقدمة والرؤية المتعددة الوسائط، كما أنه يقدم خيارات أكثر فعالية من حيث التكلفة (خاصة الإصدار 3). للمطورين الذين يبحثون عن مرونة عالية وكفاءة في التكلفة لدعم اللغات المتعددة والمهام البرمجية المعقدة والتطبيقات متعددة الوسائط، يُعد Mistral Large خياراً أفضل.
