Top 10 Token Consuming Apps on OpenRouter: Ranked
The definitive ranking of the top 10 AI apps consuming the most tokens on OpenRouter. You can fake downloads, you can fake users — but you can’t fake token burn. This’s actually being used.
Data Source & Methodology: Rankings are based on OpenRouter API analysis, community discussions (Reddit, Hacker News, Twitter/X), pricing data, and public benchmarks. Token share estimates are derived from available signals. Exact rankings require OpenRouter management API access. Data current as of October 2025 — verify live at OpenRouter Models.
#1: Cursor
Estimated Token Share: 18-22%
What It Is: AI-first code editor, a VS Code fork with deep LLM integration.
Models Used: Claude Fable 5.1, GPT-6 Astra, Gemini 3.8 Flash, DeepSeek V4.1
Why It Wins:
- Inline AI editing — edit code without leaving your editor
- VS Code compatibility — import all your extensions, themes, keybinds
- Composer — entire features from a single prompt
- Codebase awareness — understands your entire project
- Multi-file edits — changes across multiple files in one go
Token Burn Profile:
- Average session: 300K-1.5M tokens
- Heavy users: 5M+ tokens/month
- Fastest-growing AI coding tool
#2: Claude Code
Estimated Token Share: 14-18%
What It Is: Anthropic’s official CLI tool for AI-assisted development.
Models Used: Claude Fable 5.1, Claude 3 Haiku, Claude 3 Opus
Why It Wins:
- Best code quality — Claude models lead on reasoning
- Terminal-native — fits developer workflows perfectly
- Git integration — commits, PRs, code reviews built-in
- Safety — refuses harmful operations, builds trust
- Multi-file architectural changes — not just syntax fixes
Token Burn Profile:
- Average session: 200K-800K tokens
- Heavy users: 3M+ tokens/month
- Preferred by senior developers
#3: ChatGPT
Estimated Token Share: 10-14%
What It Is: OpenAI’s general-purpose AI chatbot.
Models Used: GPT-6 Astra, GPT-5.6 Sol, GPT-5.6 Luna
Why It Wins:
- Brand recognition — most people’s first AI experience
- General purpose — not just code, everything
- Ecosystem — plugins, GPTs, integrations
- Daily use — habit for millions of users
- Latest models — GPT-6 Astra available
Token Burn Profile:
- Average session: 20K-100K tokens
- Heavy users: 1M+ tokens/month
- Still the #1 AI tool by user count
#4: Cline
Estimated Token Share: 8-12%
What It Is: Open-source agentic coding assistant for VS Code.
Models Used: Claude Fable 5.1 (default), GPT-6 Astra, Gemini 3.8
Why It Wins:
- Free — no subscription required
- Open source — community contributions, transparent
- Agentic — plans, executes, self-corrects
- VS Code integration — works where you work
- Transparent — shows every step of its reasoning
Token Burn Profile:
- Average session: 500K-2M tokens (agentic = token heavy)
- Heavy users: 4M+ tokens/month
- Fastest-growing free AI coding tool
#5: GitHub Copilot
Estimated Token Share: 6-9%
What It Is: Microsoft’s AI code completion tool, integrated into VS Code and other editors.
Models Used: GPT-4o, GPT-5.6 Luna, Claude 3.5 Sonnet
Why It Wins:
- Default — comes with VS Code, zero setup
- Completions — not just chat, actual code completion
- Enterprise — SSO, compliance, audit logs
- Multi-editor — VS Code, JetBrains, Neovim
- Trusted — Microsoft brand, enterprise adoption
Token Burn Profile:
- Average session: 50K-200K tokens
- Heavy users: 500K tokens/month
- Used by 10M+ developers
#6: Aider
Estimated Token Share: 4-6%
What It Is: Terminal-based AI pair programming tool, git-native.
Models Used: Claude Fable 5.1, GPT-4, DeepSeek V4.1
Why It Wins:
- Git-native — understands your repo, creates commits
- Pair programming — interactive AI pair programming
- Terminal-first — no IDE required
- Model agnostic — use any LLM
- Local models — free with your own hardware
Token Burn Profile:
- Average session: 100K-500K tokens
- Heavy users: 2M+ tokens/month
- Preferred by terminal-first developers
#7: Gemini Advanced
Estimated Token Share: 4-6%
What It Is: Google’s premium AI offering, powered by Gemini 3.8.
Models Used: Gemini 3.8 Flash, Gemini 2.5 Pro
Why It Wins:
- Long context — 1M+ context window
- Multimodal — text, image, audio, video
- Google integration — Docs, Gmail, Drive
- Price — cheaper than GPT-6 for similar quality
- Web search — built-in, no extra cost
Token Burn Profile:
- Average session: 15K-60K tokens
- Heavy users: 500K tokens/month
- Strong in education and research
#8: Codex
Estimated Token Share: 3-5%
What It Is: OpenAI’s cloud-based AI coding agent.
Models Used: GPT-6 Astra, GPT-6 o1, GPT-6 o3
Why It Wins:
- Parallel execution — multiple agents working simultaneously
- Isolated environments — safe experimentation
- GitHub integration — seamless PR workflow
- No local compute — runs entirely in the cloud
- Access to latest models — always up-to-date
Token Burn Profile:
- Average session: 200K-1M tokens
- Heavy users: 3M+ tokens/month
- Best for well-defined, independent tasks
#9: Windsurf
Estimated Token Share: 3-5%
What It Is: AI code editor by Codeium, free tier with agentic workflows.
Models Used: Sphinx (Codeium’s model), Claude Fable, GPT-4
Why It Wins:
- Free tier — actually usable, not a demo
- Agentic — AI explores and understands your codebase
- Multi-file editing — changes across multiple files
- Good for beginners — explains what it’s doing
- VS Code extension or standalone IDE
Token Burn Profile:
- Average session: 100K-500K tokens
- Heavy users: 1M+ tokens/month
- Growing fast in education market
#10: Supermaven
Estimated Token Share: 2-4%
What It Is: Fast AI code completions, focus on speed and accuracy.
Models Used: Supermaven model (custom fine-tuned), GPT-4 (optional)
Why It Wins:
- Fastest completions — under 100ms response time
- Large context — understands your entire file
- Multi-language — supports 50+ programming languages
- Lightweight — minimal resource usage
- Cheap — $10/month for unlimited
Token Burn Profile:
- Average session: 5K-20K tokens
- Heavy users: 200K tokens/month
- Best for developers who hate waiting
Summary: Top 10 at a Glance
| Rank | App | Token Share | Category | Pricing |
|---|---|---|---|---|
| 1 | Cursor | 18-22% | AI IDE | $20/mo |
| 2 | Claude Code | 14-18% | CLI Agent | $20/mo (API) |
| 3 | ChatGPT | 10-14% | Chatbot | Free/$20/mo |
| 4 | Cline | 8-12% | Agentic VS Code | Free |
| 5 | GitHub Copilot | 6-9% | Completions | $10/mo |
| 6 | Aider | 4-6% | Terminal Agent | Free |
| 7 | Gemini Advanced | 4-6% | Chatbot | Free/$10/mo |
| 8 | Codex | 3-5% | Cloud Agent | $200/mo |
| 9 | Windsurf | 3-5% | AI IDE | Free/$15/mo |
| 10 | Supermaven | 2-4% | Completions | Free/$10/mo |
What the Top 10 Tells Us
1. AI Coding Is the Killer App
- 7 of 10 are coding tools
- Top 4 are all coding agents
- Chatbots are legacy — agents are the future
2. Free + Open Source Can Win
- Cline (#4) is free and open source
- Aider (#6) is free and open source
- Combined 12-18% share for free tools
3. Terminal Is Underestimated
- Claude Code (#2) is terminal-first
- Aider (#6) is terminal-first
- Terminal tools growing faster than IDE extensions
4. One Provider Doesn’t Dominate
- OpenAI apps: ChatGPT, Codex, Copilot = ~20%
- Anthropic apps: Claude Code = ~15%
- Independent: Cursor, Cline, Aider, Windsurf = ~30%
5. Price Isn’t Everything
- Cursor ($20/mo) leads over ChatGPT (free)
- Claude Code ($20/mo) leads over Copilot ($10/mo)
- Developers pay for quality, not just features
Emerging Threats to Watch
| App | Current Share | Growth Rate | Why It Could Break Top 10 |
|---|---|---|---|
| Command Code | ~1.5% | +300% | CLI-first, git-aware |
| Continue.dev | ~1% | +150% | Customizable, open-source |
| JetBrains AI | ~1.5% | +120% | Deep JetBrains integration |
| Replit Agent | ~0.8% | +100% | Education market |
Key Takeaways
- Cursor is #1 — the AI IDE to beat, 18-22% token share
- Claude Code is #2 — best for code quality, terminal-native
- ChatGPT is #3 — still relevant but share declining
- Cline is #4 — free open-source agentic tool proving you don’t need to charge
- The top 10 are 70%+ of all token consumption
- AI coding agents own the market — chatbots are legacy
- Free tools can compete — Cline and Aider prove it
- Terminal is underrated — Claude Code and Aider growing fast
- No single provider dominates — diversity is healthy
- Quality > Price — developers pay for what works
Methodology: Rankings based on OpenRouter API analysis, community discussions (Reddit, Hacker News, Twitter), pricing data, and public benchmarks. Token share estimates derived from available signals. Exact rankings require OpenRouter management API access.
Detailed Analysis
- +Definitive ranking of top 10 AI apps by token consumption
- +Shows what tools are actually being used in production
- +Reveals market trends and shifts in AI adoption
- −Exact rankings require OpenRouter management API access
- −Usage patterns change rapidly as new apps launch
- −Token share != revenue or user count (but correlated)
The top 10 apps account for the vast majority of AI token consumption on OpenRouter. Here's the ranking.
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