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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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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
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OpenRouter
✓ verifiedFreemium
Unified API routing across many LLMs with pricing and uptime optimization.
👁 17M/mo
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Fish Audio
✓ verifiedFreemium
Text-to-speech synthesizing natural speech from short voice samples.
👁 5.6M/mo
Pricing
No public pricing
No public pricing
No public pricing
No public pricing
Free: $0
Bronze: $10 / mo
Silver: $25 / mo
Gold: $50 / mo
Core features
- ✦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
- ✦Text-to-speech synthesis
- ✦Voice model discovery
- ✦Custom voice model building
- ✦Maintaining timbre, style, and accent of the original voice
- ✦Model sharing for AI art generation
- ✦Community reviews and image sharing
- ✦Stable Diffusion model support
Use cases
- →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
- →Generating speech in a specific voice for audiobooks
- →Creating voiceovers for videos
- →Developing virtual assistants with personalized voices
- →Generating speech for accessibility purposes
- →Finding and using Stable Diffusion models for AI art generation
- →Sharing custom models with the community
- →Learning from prompts and images shared by other users
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