Stop juggling 5+ API providers. One key, all models, 40% cheaper.
Building AI apps in 2026 means choosing between dozens of models. DeepSeek for reasoning. Kimi for long documents. GLM for Chinese. Qwen for code. Doubao for speed. Each requires a separate account, API key, billing system, and SDK.
I spent 2 hours per week just managing keys and tracking usage across providers. Then I built TokenEase.
To build a serious AI product, you need access to multiple models:
6 vendors. 6 API keys. 6 billing systems. 6 SDK patterns (almost-same-but-not-quite).
TokenEase is a single API gateway that aggregates 7 top AI models behind one OpenAI-compatible interface.
curl https://tokenease.io/v1/chat/completions \\
-H "Authorization: Bearer YOUR_KEY" \\
-H "Content-Type: application/json" \\
-d '{
"model": "deepseek-chat",
"messages": [{"role": "user", "content": "Hello"}]
}'
Switch models with one parameter change:
# DeepSeek for coding
"model": "deepseek-chat"
# Kimi K3 for long documents (200K context)
"model": "kimi-k3"
# GLM-5.1 for Chinese
"model": "glm-5"
# Qwen-Plus for reasoning
"model": "qwen-plus"
# Doubao Pro for speed
"model": "doubao-pro"
| Model | TokenEase | OpenRouter | Savings |
|---|---|---|---|
| DeepSeek V4 | $0.30/$1.20 | $0.50/$2.00 | 40% |
| GLM-5.1 | $0.75/$0.75 | $1.00/$1.00 | 25% |
| Qwen-Plus | $0.40/$1.20 | $0.60/$1.80 | 33% |
TokenEase now supports MCP (Model Context Protocol). Claude, Cursor, and Windsurf can discover and call TokenEase directly through our MCP server.
Add to your Claude/Cursor MCP config:
{
"mcpServers": {
"tokenease": {
"url": "https://tokenease.io/mcp/sse"
}
}
}