Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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DeepSeek V4
✓ verifiedFree
DeepSeek's official domain and foundation-model line; major AI lab.
👁 430M/mo
✕
Code Arena
✓ verified
Platform to compare AI coding models and generate multi-file apps side-by-side.
👁 35M/mo♥ 201
✕
OpenRouter
✓ verifiedFreemium
Unified API routing across many LLMs with pricing and uptime optimization.
👁 17M/mo
✕
Claude
✓ verifiedFreemium
Anthropic's official domain and Claude model line; category-defining AI lab.
👁 22M/mo♥ 231K
Pricing
No public pricing
No public pricing
No public pricing
No public pricing
Free: $0
Pro: $17/mo annual ($20 monthly)
Max: from $100/mo (5x or 20x usage)
Team Standard: $20/seat/mo annual ($25 monthly)
Team Premium: $100/seat/mo annual ($125 monthly)
Enterprise: $20/seat + API usage
Free trial available
Core features
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- ✦General large language models (LLM)
- ✦Code generation models
- ✦Mixture of Experts (MoE) models
- ✦API access to models
- ✦Context Caching
- ✦Side-by-side AI model comparison
- ✦Multi-file app and website generation
- ✦Export to GitHub or IDE
- ✦Image to Code (screenshot to code conversion)
- ✦Real-time code quality and reasoning evaluation
- ✦AI coding model leaderboard
- ✦Unified API for multiple LLMs
- ✦Model routing visualization
- ✦Custom data policies
- ✦Price and performance optimization
- ✦Higher availability through distributed infrastructure
- ✦Advanced reasoning
- ✦Vision analysis
- ✦Code generation
- ✦Multilingual processing
- ✦API access
- ✦Collaboration tools
Use cases
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- →Chatbots and conversational AI
- →Code completion and generation
- →Reasoning and problem-solving
- →Text generation and summarization
- →Mathematical problem solving
- →Search
- →Writing
- →Reading
- →Comparing the logic and reasoning of different AI models for a specific coding task
- →Generating a complete multi-file website structure from a single prompt
- →Converting a UI mockup image into functional frontend code
- →Benchmarking the performance of new AI coding models
- →Accessing multiple LLMs through a single API
- →Implementing custom data policies for LLM usage
- →Ensuring high availability of AI models
- →Optimizing costs without sacrificing speed
- →Building AI applications with reliable and diverse models
- →Collaborating on complex cognitive tasks
- →Transcribing and analyzing images
- →Generating code for websites and applications
- →Translating between languages
- →Building AI agents
- →Providing customer support
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