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Created June 25, 2025 09:20
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Top Large Language Models (LLMs) by Use Case (June 2025)
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llm-model-slection-guide-2025.md

Top Large Language Models (LLMs) by Use Case (June 2025)

Concise reference for selecting models based on specific needs

Selection Tip: Prioritize

  1. Task type
  2. Context needs
  3. Deployment constraints (cost/latency/open-source)

🔧 Coding & Software Engineering

Model Supplier Key Strengths Notes
Claude 4 Opus Anthropic Complex coding, refactoring, multi-step edits Leads SWE-bench (72.5%)
GPT-4o (o3/o4) OpenAI Code completion, security analysis, documentation o3 excels at algorithmic optimization
DeepSeek R1/V3 DeepSeek Strong reasoning, 128K context Open-source, comparable to GPT-4
Qwen 3 Alibaba Code/math reasoning, 1M token context Mixture-of-Experts architecture
Mistral Large 2 Mistral Long-context code processing (128K tokens) High efficiency
📚 Details
  • Complex projects: Claude 4 Opus/Sonnet
  • Balanced performance: GPT-4o or DeepSeek R1
  • Open-source option: DeepSeek R1/V3
  • Massive context: Qwen 3 (1M tokens)

🧠 Planning & Reasoning

Model Supplier Key Strengths Notes
GPT-4o (o3) OpenAI Complex reasoning, algorithmic tasks Industry benchmark
Claude 4 Sonnet Anthropic Step-by-step problem solving Deliberate reasoning mode
DeepSeek R1 DeepSeek Efficient reasoning, 128K context Open-source, API available
Phi-3.5/4 Microsoft Compact reasoning models Easy to deploy, vision option
📚 Details
  • Mission-critical reasoning: GPT-4o o3
  • Safety-focused: Claude 4 Sonnet
  • Resource-efficient: Phi-3.5/4
  • Open alternative: DeepSeek R1

🖼️ Multimodal & Large Context

Model Supplier Key Strengths Notes
GPT-4o OpenAI Text+image+audio integration Rapid prototyping
Gemini 2.5 Pro Google Real-time data, translation Enterprise-focused
Llama 4 Scout Meta 10M token context, open-source Powers Meta's AI features
Qwen 3 Alibaba 1M token context, vision support 29+ languages
📚 Details
  • All-in-one multimodal: GPT-4o
  • Document processing: Llama 4 Scout (10M tokens)
  • Real-time integration: Gemini 2.5 Pro
  • Massive open context: Qwen 3

⚡ Low-Latency & On-Device

Model Supplier Key Strengths Notes
Mistral Small 3 Mistral Low-latency, efficient Apache 2.0 license
Granite 3.1 IBM IT automation, cybersecurity Enterprise-focused
Phi-3.5/4 Microsoft Compact vision models Easy fine-tuning
📚 Details
  • Edge deployment: Mistral Small 3
  • IT automation: Granite 3.1
  • Vision-capable compact: Phi-3.5-vision

✍️ Content Creation

Model Supplier Key Strengths Notes
Claude 4 Anthropic High-quality, safe generation Natural conversational flow
Llama 4 Meta Versatile content generation Open weights
StableLM 2 Stability Multilingual, lightweight Optimized for general NLP
📚 Details
  • Brand-safe content: Claude 4
  • Customizable open: Llama 4
  • Multilingual support: StableLM 2 (45+ languages)

💬 Customer Support

Model Supplier Key Strengths Notes
Claude 4 Anthropic Advanced dialogue, safety Constitutional AI
GPT-4o OpenAI Enterprise bot deployment Extensive API ecosystem
Grok 3 xAI Real-time conversational Trained on social data
📚 Details
  • Human-like dialogue: Claude 4
  • Enterprise integration: GPT-4o
  • Social-aware responses: Grok 3

🌐 Translation & Localization

Model Supplier Key Strengths Notes
Gemini 2.5 Pro Google Real-time translation 100+ languages
Qwen 3 Alibaba 29+ languages, large context Enterprise analytics
📚 Details
  • High-volume translation: Gemini 2.5 Pro
  • Asian languages: Qwen 3

📊 Sentiment Analysis

Model Supplier Key Strengths Notes
Llama 4 Meta Customizable analytics Open weights
Qwen 3 Alibaba Enterprise research Integrated tool calling
StableLM 2 Stability Lightweight analytics Apache 2.0 license
📚 Details
  • Research customization: Llama 4
  • Enterprise scale: Qwen 3
  • Lightweight deployment: StableLM 2

Key Trends

  1. Open-source dominance: Llama 4, DeepSeek R1, Qwen 3 lead customization
  2. Multimodal standard: GPT-4o, Gemini 2.5 Pro, Llama 4 handle text+image+audio
  3. Context expansion: Qwen 3 (1M tokens), Llama 4 Scout (10M tokens)
  4. Specialization: Models optimized for coding (Claude 4), reasoning (GPT-4o o3), or efficiency (Mistral Small 3)
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