AI Model Directory
Compare 20+ AI models across pricing, capabilities, context windows, and licensing. Find the right model for your use case — from frontier reasoning to edge deployment.
GPT-4o
$2.50/$10.00 per 1M tokens (input/output)OpenAI's flagship multimodal model with text, vision, and audio capabilities.
Claude 4 Sonnet
$3.00/$15.00 per 1M tokensAnthropic's balanced model with strong reasoning and a 200K context window.
Claude 4 Opus
$15.00/$75.00 per 1M tokensAnthropic's most intelligent model for complex reasoning and research tasks.
Gemini 2 Pro
$1.25/$5.00 per 1M tokens (under 128K)Google's frontier model with a 2M token context window and multimodal capabilities.
Llama 3 405B
Free (self-hosted) / varies via cloud providersMeta's most capable open-weight model approaching frontier performance.
Llama 3 70B
Free (self-hosted)Meta's balanced open-weight model with strong all-round performance.
Llama 3 8B
Free (self-hosted)Meta's efficient small model for edge deployment and on-device AI.
Mistral Large
$2.00/$6.00 per 1M tokensMistral AI's flagship model with strong multilingual and reasoning capabilities.
Mixtral 8x22B
Free (self-hosted)Mistral's open-weight Mixture of Experts model with efficient inference.
Qwen 2 72B
Free (self-hosted)Alibaba's open-weight model with strong Chinese-English bilingual capabilities.
Command R+
$2.50/$10.00 per 1M tokensCohere's enterprise model optimised for RAG and retrieval workflows.
DeepSeek V3
Free (self-hosted) / competitive API pricing671B parameter MoE model achieving frontier performance at remarkably low training cost.
Phi-3 Mini
Free (MIT licence)Microsoft's compact 3.8B model with surprising capability for edge deployment.
Grok 2
X Premium+ subscription / API availablexAI's model with real-time X (Twitter) access and competitive reasoning.
Stable Diffusion XL
Free (self-hosted)Stability AI's open-source image generation model for text-to-image creation.
Stable Diffusion 3
Free (community) / Commercial licence availableStability AI's latest image model with improved prompt understanding.
DALL-E 3
$0.040–$0.120 per imageOpenAI's image generation model with superior prompt adherence and text rendering.
Midjourney V6.1
$10–$120/month subscriptionLeading AI art platform known for exceptional aesthetic quality.
Whisper Large V3
Free (self-hosted) / $0.006/min via APIOpenAI's open-source speech recognition model supporting 99 languages.
Claude Code
Included with Claude API usageAnthropic's agentic coding tool built on Claude for software development tasks.
GitHub Copilot
$10–$39/month per userAI pair programmer integrated into VS Code, JetBrains, and other IDEs.
Guide
How to choose
Choosing the right AI model depends on your specific requirements across several dimensions. Start by defining your primary use case — text generation, image creation, speech processing, or code assistance. For text models, consider the tradeoff between capability and cost: frontier models like GPT-4o, Claude 4 Opus, and Gemini 2 Pro offer the highest quality but at premium pricing, while models like Mistral Large and Command R+ deliver strong performance at lower cost. Data sovereignty and deployment flexibility are increasingly important factors. If you need to self-host for privacy, compliance, or cost reasons, open-weight models like Llama 3, DeepSeek V3, and Mixtral are your best options. These allow full control over your data and infrastructure but require ML engineering expertise to deploy and maintain. For enterprises on cloud platforms, consider models available natively on your provider: Azure (OpenAI, Mistral), AWS Bedrock (Claude, Llama), or Google Cloud (Gemini). Finally, evaluate context window size, latency requirements, and ecosystem maturity. If you process long documents, Gemini's 2M context or Claude's 200K context are significant advantages. For real-time applications, smaller models like Phi-3 or Llama 3 8B offer lower latency. For production reliability, OpenAI and Anthropic have the most mature enterprise platforms with SLAs, compliance certifications, and support infrastructure.
FAQ
Frequently asked questions
There is no single 'best' model. GPT-4o is the most versatile, Claude 4 excels at reasoning and safety, Gemini 2 Pro offers the largest context window, and Llama 3 leads in open-weight flexibility. The right choice depends on your specific use case, budget, and deployment requirements.
Commercial models (GPT-4o, Claude) offer simplicity, reliability, and enterprise support. Open-weight models (Llama 3, DeepSeek V3) offer data control, customisation, and no per-token costs. Many organisations use a mix — commercial for prototyping and critical tasks, open for high-volume and specialised workloads.
Costs vary dramatically. Open models are free to self-host (plus infrastructure costs). Commercial API pricing ranges from $0.15/1M tokens (small models) to $75/1M tokens (Claude 4 Opus). For a typical enterprise, expect $500-$10,000/month depending on volume and model choice.
Yes, if you design for it. Use abstraction layers like LiteLLM, LangChain, or the OpenAI-compatible API format (supported by most providers). This allows switching providers without rewriting application code. Test model-specific behaviours before switching in production.
For simple Q&A and chat: 8-32K tokens is sufficient. For document analysis: 128K+ tokens. For processing entire codebases or books: Gemini's 2M or Claude's 200K context. Larger context windows cost more per request, so match your context size to your actual needs.
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