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Chinese AI lab DeepSeek offering free chat apps and low-cost API access to its frontier V-series and R-series reasoning models.
Side-by-side arena to compare AI coding models and build multi-file apps, with a public leaderboard and battle mode.
Unified API gateway that routes requests to 400+ LLMs across 70+ providers with failover and no subscription.
AI coding agent and editor that understands your codebase, runs autonomous agents and edits across your stack.
Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.
No public pricing
No public pricing
No public pricing
Free trial available
- ✦Free DeepSeek chat (web and app)
- ✦Open API platform
- ✦V-series and R-series reasoning models
- ✦DeepSeek-V4 with long context and stronger agent ability
- ✦OpenAI/Anthropic-compatible API
- ✦Extensive published model lineup
- ✦Head-to-head model comparison
- ✦Battle mode matchups
- ✦Public model leaderboard
- ✦Multi-file app generation
- ✦File uploads as input
- ✦One unified, OpenAI-compatible API for 400+ models
- ✦Automatic provider failover for higher uptime
- ✦Edge routing for low latency
- ✦Custom data and provider policies
- ✦Pay-as-you-go credits usable across any model
- ✦Codebase-aware AI completions and edits
- ✦Autonomous and cloud agents
- ✦Access to frontier models (GPT, Claude, Gemini, Grok)
- ✦CLI, Slack and GitHub integration
- ✦Scheduled automations and triggers
- ✦Team marketplace and enterprise controls
- ✦Multi-agent collaboration for end-to-end tasks
- ✦Persistent memory and custom rules
- ✦Extensible skills and plugins
- ✦Rich context across code, images, and directories
- ✦Automatic codebase documentation generation
- ✦Terminal-native CLI and JetBrains IDE plugin
- ✦Cloud-hosted agents for enterprise use
- →Free AI chat and assistance
- →Building apps via API
- →Reasoning and coding tasks
- →Low-cost LLM inference
- →Choosing the best coding model
- →Benchmarking AI code quality
- →Prototyping small apps
- →Accessing many LLMs through one integration
- →Adding provider redundancy to AI apps
- →Comparing model price and performance
- →Powering agents and AI-native products
- →AI pair programming
- →Multi-file refactors
- →Autonomous feature building
- →Automated PR reviews and CI fixes
- →Autonomous feature development in large codebases
- →Terminal-based AI pair programming
- →Cross-department task automation for legal, finance, HR
- →Onboarding developers to unfamiliar codebases