Lite
For developers exploring models and testing ideas before committing to a stack.
$1.00/day billed monthly
Start BuildingClaude, GPT, Gemini, Llama, Groqu2028and 350+ more.
Change a model string. Your integration stays exactly the same.
Run your prompts through EvalLab, get benchmarks, and run the winner.
Tokens, cost, latency, finish reason — every call logged in real time.
Point your existing code at one endpoint. Change your base URL — your OpenAI SDK calls work immediately. No new SDK, no migration.
Run your real prompts through EvalLab. See which model performs best for your task and what it costs. Apply the winner in one click.
Every request logged, automatic fallback, spend caps per key. Build fast, ship confident.
PRICING
The most cost-efficient AI infrastructure, with full control over every request.
For developers exploring models and testing ideas before committing to a stack.
$1.00/day billed monthly
Start BuildingX4 tokens
For developers actively integrating AI into real projects and shipping regularly.
$3.33/day billed monthly
Start BuildingX2 daily limit
For professional developers running AI as a daily tool across multiple projects at once.
$6.67/day billed monthly
Start Building
Each plan converts your monthly fee into a token pool you can spend across any model.
Here’s what that pool gets you on the models people actually use to ship.
Up to x6
Token value per $1 spent
Junior
$30/mo
Mid
$100/mo
Senior
$200/mo
Claude Opus 4.8
Anthropic · $20 / 1M tokens
6.9 М
~$140
23.1 М
~$470
46.2 М
~$930
Claude Sonnet 4.6
Anthropic · $12 / 1M tokens
11.5 М
~$140
38.5 М
~$470
76.9 М
~$930
GPT-5.5
OpenAI · $25 / 1M tokens
5.8 М
~$150
19.4 М
~$490
38.7 М
~$970
GPT-5.3 Codex
OpenAI · $13 / 1M tokens
12.5 М
~$170
41.8 М
~$550
83.6 М
~$1090
Gemini 3.5 Flash
Google · $8 / 1M tokens
19.4 М
~$160
64.5 М
~$520
129 М
~$1040
Maximum retail value if you spend the whole subscription on one model.
up to ~$170
you pay $30
up to ~$550
you pay $100
up to ~$1,090
you pay $200
For every $1 spent, you’re getting up to $5 in token costs across the most powerful models.