Last Updated: August 29, 2026| For developers testing Claude, Gemini, DeepSeek, and other AI models
Looking for free Claude API credits or a low-cost AI API gateway?
→ Claim $120 free TabiToken credits here (referral link)
$120 signup credit(vs. $100 older offer)$20 per referral reward(share & earn)- Works with Kilo Code,** Claude Code**,** GitHub Copilot**, and** any OpenAI-compatible client** - Best for: Testing, development, AI coding experiments
TabiToken (branded as TaBiAI) is an AI API gateway and model routing service designed for developers who want to:
✅ Test multiple AI models without switching clients
✅ Use Claude, OpenAI, Gemini, DeepSeek, Qwen, Llama through one API
✅ Get free testing credits before spending money
✅ Integrate with popular AI coding tools (Kilo Code, VS Code extensions, GitHub Copilot)
✅ Monitor usage and costs across multiple models
Think of it as a unified dashboard that lets you route API calls to different AI ecosystems while maintaining an OpenAI-compatible interface.
| Feature | Details |
|---|---|
| Type | |
| AI API gateway / unified model router | |
| Free signup credit | |
| $120 (via referral link) | |
| Referral reward | |
| $20 per successful referral | |
| Models supported | |
| Claude, OpenAI, Gemini, DeepSeek, Qwen, Llama, others | |
| API compatibility | |
OpenAI-compatible /v1/chat/completions + Anthropic-compatible routes |
|
| Best for | |
| Testing, development, AI coding workflows | |
| Caution | |
| Third-party gateway = additional security boundary |
Get $120 free TabiToken credits → click here
This is the referral signup link you must use to receive the $120 credit offer (older public posts mention $100, but the current referral promo is $120).
Follow TabiToken's account creation flow:
Option A: Email + passwordOption B: Continue with GitHub (recommended for developers to get $120 Free Credits)
Current community reports indicate:
- TabiToken may require a GitHub account that's at least 1–1.5 years old for verification - This is anti-abuse protection and may change
- Use your own legitimate account; do not buy/rent/share accounts
After signup, check your TabiToken dashboard or wallet section:
-
You should see $120 credit(not the old $100) - If you see a different amount, it may have changed—contact support to confirm eligibility
-
Go to API Keys section in your dashboard - Click Create New Key - Give it a descriptive name (e.g.,
kilo-code-testing
) - Copy and store it securely(never share or commit to Git)
- Check TabiToken's dashboard for available models (Claude, GPT-4, etc.)
- Copy the Base URL for your chosen model - Copy the exact Model ID(don't guess—copy exactly)
Example:
Base URL: https://api.tabitoken.com/v1
Model: claude-3-5-sonnet (or whatever TabiToken provides)
Connect your API key to a tool (Kilo Code, Claude Code, etc.) and test with non-sensitive data.
Community reports confirm: TabiToken pays $20 for each successful referral.
-
Share your referral link:
https://tabitoken.com/sign-up?aff=vHpI -
When someone signs up through your link and gets credited, you earn $20 - Rewards appear in your TabiToken wallet
-
Exact payout rules and limits may vary
-
Reddit: r/ChatGPT, r/OpenAI, r/CodingHelp, r/DevTools
-
Dev communities: Dev.to, Indie Hackers, Discord servers
-
Your blog/newsletter
-
Social: Twitter/X, LinkedIn
-
AI forums and Slack communities
Why Kilo Code? It's the most straightforward because it has native OpenAI-compatible provider support.
-
Kilo Code installed in VS Code
-
TabiToken account with API key + base URL + model ID
Open Kilo Code Settings- Click the Kilo Code icon in VS Code sidebar
-
Select Settings(gear icon)
Navigate to Providers- Go to the Providers tab - Click Add Provider orCustom Provider
- Go to the
Configure Custom Provider****Provider Name:TabiToken
(or any name you want)Provider Type:OpenAI Compatible
Base URL: Paste your TabiToken base URL (example:https://api.tabitoken.com/v1
)API Key: Paste your TabiToken API key
Set Model- Kilo will auto-detect available models, or
- Manually enter the exact model ID from TabiToken (example:
claude-opus-5
)
Save & Test- Click Save - Create a small test file
-
Ask Kilo to explain a simple function or generate a test
-
If it works, you're connected!
-
Click
Provider Name: TabiToken
API Type: OpenAI Compatible
Base URL: https://api.tabitoken.com/v1
API Key: sk-xyz... (your TabiToken key)
Model: claude-opus-5
| Issue | Solution |
|---|---|
| Invalid API Key error | |
| Check for extra spaces, copy key exactly from dashboard | |
| Model Not Found | |
| Use the exact model ID from TabiToken (don't guess) | |
| Connection timeout | |
Verify base URL is correct; check if /v1 endpoint is needed |
|
| Tool calling not working | |
| Confirm the model supports function calling; some models on TabiToken may vary |
Important: Claude Code is built for Anthropic's API, so this only works if TabiToken provides an Anthropic-compatible route (not just OpenAI-compatible).
Check TabiToken's dashboard: Look for an Anthropic-compatible endpoint or base URL.
- Claude Code installed (CLI)
- TabiToken account with Anthropic-compatible endpoint details
- Terminal/PowerShell access
Mac/Linux:
export ANTHROPIC_BASE_URL="https://api.tabitoken.com/v1"
export ANTHROPIC_API_KEY="YOUR_TABITOKEN_API_KEY"
export ANTHROPIC_MODEL="claude-opus-5"
claude
Windows PowerShell:
$env:ANTHROPIC_BASE_URL="https://api.tabitoken.com/v1"
$env:ANTHROPIC_API_KEY="YOUR_TABITOKEN_API_KEY"
$env:ANTHROPIC_MODEL="claude-opus-5"
claude
ANTHROPIC_BASE_URL
: Where Claude Code should send requestsANTHROPIC_API_KEY
: Your TabiToken API keyANTHROPIC_MODEL
: Which model Claude Code should use
⚠️ Protocol matters: If your TabiToken endpoint is only OpenAI-compatible, Claude Code won't work with it. Verify TabiToken supports Anthropic API format before trying this setup.
| Issue | Solution |
|---|---|
| API Key invalid | |
| Ensure no extra spaces; verify key works in TabiToken dashboard first | |
| Connection refused | |
Check base URL; test with curl first |
|
| Model not recognized | |
| Make sure exact model name matches TabiToken's offering | |
| Protocol error | |
| Verify TabiToken endpoint is Anthropic-compatible, not just OpenAI-compatible |
GitHub now supports Bring Your Own Key (BYOK) for Copilot, including OpenAI-compatible endpoints. TabiToken works great here.
Prerequisites:
- GitHub Copilot CLI installed
- TabiToken OpenAI-compatible API key + base URL + model ID
Mac/Linux:
export COPILOT_PROVIDER_BASE_URL="https://api.tabitoken.com/v1"
export COPILOT_PROVIDER_TYPE="openai"
export COPILOT_PROVIDER_API_KEY="YOUR_TABITOKEN_API_KEY"
export COPILOT_MODEL="claude-opus-5"
copilot
Windows PowerShell:
$env:COPILOT_PROVIDER_BASE_URL="https://api.tabitoken.com/v1"
$env:COPILOT_PROVIDER_TYPE="openai"
$env:COPILOT_PROVIDER_API_KEY="YOUR_TABITOKEN_API_KEY"
$env:COPILOT_MODEL="claude-opus-5"
copilot
What Each Variable Does
COPILOT_PROVIDER_BASE_URL
: TabiToken's API endpointCOPILOT_PROVIDER_TYPE
: Must beopenai
for OpenAI-compatible providersCOPILOT_PROVIDER_API_KEY
: Your TabiToken API keyCOPILOT_MODEL
: Model ID (must support tool calling + streaming)
- Open
GitHub Copilot app - Go to
Settings → Model providers - Click
Add provider - Fill in:
Display name:
TabiToken
Base URL:https://api.tabitoken.com/v1
API Key: Your TabiToken key
-
Click Save - Open a repository and select TabiToken from the model picker
-
Model must support tool calling (function calling) - Model must support streaming - Context window of 128K tokens recommended for best performance - Model must be compatible with OpenAI Chat Completions API
| Issue | Solution |
|---|---|
| Provider not found in model picker | |
| Ensure base URL and API key are correct; restart the app | |
| Tool calling fails | |
| Check that the model ID supports function calling | |
| Streaming timeout | |
| Verify connection; test with smaller prompts first | |
| Invalid credentials | |
| Copy API key without spaces; verify in TabiToken dashboard |
A third-party AI gateway adds an extra layer between your application and the underlying AI provider. Here's how to use it safely:
✅ DO:
- Test with
local or disposable projects first - Use
synthetic or sample data for early experiments - Store API keys in
environment variables, never in code - Use a
.gitignore
file to exclude.env
files from Git - Rotate API keys after testing phase
- Review TabiToken's privacy and retention policies independently
❌ DON'T:
- Send confidential source code through a third-party gateway - Include customer data, passwords, or PII in prompts - Share database credentials, API secrets, or authentication tokens - Store API keys in Git repositories orfrontend code - Paste secrets into prompts or logs - Assume third-party infrastructure has the same security as direct providers
1. Create a new, local project folder
2. Generate a test/throwaway API key in TabiToken
3. Add it to a .env file (excluded from Git)
4. Load it via environment variable in your code
5. Test with synthetic data (made-up customer records, fake credentials)
6. Verify the model and protocol work correctly
7. Rotate the key after testing
8. Only then consider production or sensitive data
.env
.env.local
*.api_key
.DS_Store
node_modules/
js
require('dotenv').config();
const apiKey = process.env.TABITOKEN_API_KEY;
const baseUrl = process.env.TABITOKEN_BASE_URL;
const model = process.env.TABITOKEN_MODEL;
// Use these variables in your API calls
| Factor | TabiToken | Direct Claude API | Direct OpenAI API |
|---|---|---|---|
| Free credits | |||
| $120 (signup) | |||
| Free tier limited | Free tier limited | ||
| Setup time | |||
| ~5 min | ~5 min | ~5 min | |
| Multiple models | |||
| ✅ All in one place | ❌ Claude only | ❌ OpenAI only | |
| Cost to test | |||
| Lowest (free credits) | Medium | Medium | |
| Security | |||
| Third-party layer | Direct | Direct | |
| Best for | |||
| Comparison testing | Production Claude use | Production OpenAI use | |
| API compatibility | |||
| OpenAI + Anthropic | Anthropic Messages API | OpenAI Chat Completions | |
| Referral rewards | |||
| $20 per sign-up | None | None |
$120 free credits let you test extensively before spending moneyUnified dashboard for managing multiple AI model providersReferral rewards($20 per sign-up) can earn you free credits** Supports multiple tools:Kilo Code, Claude Code, GitHub Copilot, custom clients Developer-friendlyAPI documentation and setup guides OpenAI-compatible**, so it works with popular libraries and tools- Great for cost-conscious developers andstartup experimentation
Third-party layer adds complexity and a security boundaryPromotions can change(the $120 offer may expire or decrease)** Model availability variesdepending on TabiToken's agreements with providers Requires configurationfor each tool (Kilo, Copilot, Claude Code) Not suitable for productionwith sensitive customer data Relay latencymay be slightly higher than direct API calls Rate limits and quotas**depend on TabiToken's infrastructure, not the underlying provider
Use TabiToken if you:
- Want to test Claude, GPT, Gemini, and others without paying - Are building a local tool or prototype - Want to compare AI models for your use case - Need to save on development costs while testing - Use Kilo Code, Claude Code, or GitHub Copilot and want cheaper testing - Don't have sensitive customer or business data in your experiments
Skip TabiToken if you:
- Only work with one model(go direct to that provider instead) - Need production-grade infrastructure with guaranteed uptime - Handle confidential customer data or source code - Require direct support from the AI provider (not a third party) - Want zero additional latency
Scenario: You want to test if Claude or GPT-4 is better for your coding tasks.
With TabiToken: Connect both models through one dashboard, use the same testing setup (Kilo Code), and compare output quality.
Cost: $120 free credits covers weeks of comparison testing.
Scenario: You want to try both GitHub Copilot (with TabiToken's backend) and Kilo Code with Claude.
With TabiToken: BYOK setup lets you test Copilot without paying, and Kilo works immediately.
Cost: Free testing for both tools.
Scenario: You're building an AI-powered tool and need to find the cheapest, best-performing model.
With TabiToken: Test multiple model providers quickly, gather performance data, and pick the winner before committing to costs.
Cost: $120 credits can cover 2–4 weeks of heavy testing.
Cause: Key not yet activated, extra spaces, or copy error.
Fix:
- Wait 5–10 minutes after account creation
- Go to TabiToken dashboard → API Keys
- Copy the key again, removing any extra spaces
- Test by visiting TabiToken's API test page (if available)
Cause: Account eligibility (GitHub age), verification issue, or old promotion.
Fix:
- Check dashboard under Billing orCredits - If empty, contact TabiToken support with your email
- Verify GitHub account is linked (if required)
- Promotions can vary; confirm what's available for your region/account
Cause: Wrong model ID, or TabiToken removed that model.
Fix:
- Go to TabiToken dashboard → Models or API docs
- Copy the exact model ID they list - Update Kilo Code settings with the correct ID
- If model not listed, it may be deprecated; try another
Cause: Incorrect environment variable names or base URL format.
Fix:
- Double-check variable names (case-sensitive):
ANTHROPIC_API_KEY
(notANTHROPIC_KEY
)COPILOT_PROVIDER_BASE_URL
(not justBASE_URL
)
- Verify base URL includes
/v1
if required:https://api.tabitoken.com/v1
- Reload terminal after setting variables
- Test with
echo $VARIABLE_NAME
to confirm it's set
Cause: TabiToken's servers overloaded, network issue, or model processing delay.
Fix:
- Wait a few minutes and retry
- Try a different, simpler model
- Check TabiToken's status page (if available)
- Check your internet connection
- Reduce prompt complexity for initial tests
Yes, for developers who want to:
- Test free before paying for AI APIs - Compare multiple AI models affordably - Use Kilo Code, Claude Code, or GitHub Copilot with cheaper backend costs - Experiment with AI coding without breaking the budget
The $120 referral credit is real and generous. Once used for legitimate testing, you'll understand whether you need Claude directly, OpenAI directly, or a multi-model setup like TabiToken.
The $20 referral reward makes it worth sharing with other developers—it's a win-win.
The biggest risk: Accidentally sending sensitive data through a third-party gateway. Use the safe testing workflow above, start with local/synthetic data, and you'll be fine.
(referral link required for offer)Claim $120 credits here - Complete registration (use a GitHub account for faster verification)
- Check dashboard for $120 credit (may take 5–10 min)
- Create and secure your API key
- Choose your first setup (Kilo Code is easiest)
- Test with a small, local project + synthetic data
- Share your referral link and earn $20 per sign-up
https://tabitoken.com/sign-up?aff=vHpI
Drop this link in Reddit threads, Discord communities, Dev.to, or your own blog. Every developer who signs up gives you $20 in credits.
This guide reflects current community reports and TabiToken's public documentation as of August 2026. Promotional amounts, eligibility, and features can change. Always verify in your own account after signup.
Need help? Contact TabiToken support directly for account-specific issues.
Last updated: August 29, 2026
Referral link: https://tabitoken.com/sign-up?aff=vHpI
Earn: $20 per successful referral