Jantaris: One API for All AI Models Without Subscriptions
Jantaris gives you access to Claude, GPT-6, Veo, and over 80 other AI models using a single prepaid USD balance and one API key. Here is how my platform works, how billing is handled, and where rates beat official maker prices.
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Jantaris is a service I built to solve a persistent issue in developer tooling: managing separate subscriptions, fragmented wallets, and multiple keys across dozens of AI providers. With Jantaris, you get one API for all AI models through a single prepaid USD balance that never expires. Whether you interact via the browser studio, direct API calls, or MCP servers, you pay only for what you generate without monthly commitments.
As of 18 October 2026
- Catalog size: about 85 models across text, image, video, and audio.
- Billing setup: prepaid card top-ups starting at $10 with zero added tax at checkout.
- Reliability promise: failed generations cost $0 and hold charges are released automatically.
- Integration: drop-in compatibility with OpenAI SDK, Anthropic SDK, and remote MCP.
Why I Built Jantaris
As a developer building modern applications, juggling separate billing dashboards for Anthropic, OpenAI, Google, and independent video labs became tedious. Each platform requires its own payment method, minimum monthly commitments, and distinct client libraries. I built Jantaris so you can access Claude, GPT-6, Gemini, Nano Banana, Veo, Kling, and around 80 other systems from one unified interface.
The platform consists of two primary environments:
- Jantaris Studio: A browser interface where you can experiment, create media, and test prompts without writing a single line of code. You can explore model capabilities and check prices before logging in.
- Jantaris API: Programmatic access supporting OpenAI and Anthropic client configurations, a general generation endpoint for media, and a remote MCP server for coding agents.
I frequently cover shifts in model access and pricing structures, from the Kling 4.0 API status across development hubs to changes in token pricing such as GPT-5.6 Sol API prices double and updates on Gemini 4 Argon pricing. Jantaris takes the hassle out of tracking separate accounts by consolidating access under a simple, reliable prepaid ledger.
How Billing Works: Pay as You Go AI API
The core philosophy of Jantaris is straightforward: pure usage-based pricing with no recurring fees. Many official dashboards push users into fixed tiers or force unspent balances to expire at the end of a billing cycle. Jantaris operates differently:
- Prepaid balance: You load funds starting at $10 using a credit or debit card. Quick top-up tiers include $10, $25, $50, $100, and $250.
- Full credit applied: No tax is added at payment. If you deposit $10, the entire $10 appears in your working balance.
- No expiration: Your deposited USD balance never expires. You can run hundreds of calls today, pause for three months, and pick up right where you left off.
- Upfront cost visibility: The exact price is displayed before you trigger a job in the Studio. In API calls, the endpoint provides an estimated_cost before execution.
- Zero cost for errors: Failed generations cost $0. When a generation task starts, the required credit is placed on hold; if the job errors out or fails, the held amount is immediately restored.
- Privacy: Prompts and output assets are never used to train models. Output links are temporary, so you simply download your files once generated.
Official Price Comparison Where Jantaris Is Cheaper
I checked the price lists on 18 October 2026 across official provider documentation. For a specific selection of popular models, Jantaris offers direct savings over the standard developer rates published by the creators. You can review the full Jantaris pricing page for complete details.
| Model | Official Price | Jantaris | Difference |
|---|---|---|---|
| Claude Opus 5.5 (1M in/out) | $4 / $20 | $3.78 / $18.90 | -6% |
| Claude Sonnet 5.5 (1M in/out) | $2 / $10 | $1.89 / $9.45 | -6% |
| Claude Fable 5.1 (1M in/out) | $10 / $50 | $9.45 / $47.25 | -6% |
| Claude Opus 4.8 (1M in/out) | $5 / $25 | $3.78 / $18.90 | -24% |
| Nano Banana Pro 1K/2K (image) | $0.134 | $0.07 | -48% |
| Nano Banana Pro 4K (image) | $0.24 | $0.075 | -69% |
| Nano Banana 2, 2K (image) | $0.101 | $0.0875 | -13% |
| Nano Banana 2, 4K (image) | $0.151 | $0.1125 | -25% |
| Nano Banana (original) | $0.039 | $0.0359 | -8% |
| Veo 3.1 Lite (8s 720p) | $0.40 | $0.177 | -56% |
| Veo 3.1 Fast (8s 720p) | $0.80 | $0.354 | -56% |
| Veo 3.1 Quality (8s 720p) | $3.20 | $2.53 | -21% |
While models like Claude Haiku 5.5 ($0.10 input / $0.50 output per million) or GPT-6.1 Sol ($2 / $10) remain exclusive to their respective original developer portals, having core engines like Claude Sonnet 5.5, Opus 5.5, and Nano Banana Pro on discounted rates within a single wallet simplifies cost management.
Video and Image Generation Rates
Jantaris features around 30 video models and 29 image models. Video rendering is priced transparently per second or per fixed-length clip. If you have followed recent updates like the Kling 4.0 availability or our workflow coverage in Kling 4.0 MCP and CLI, you know that managing compute costs across media engines is vital.
| Model & Resolution | Per Second | 5s Clip | 10s Clip |
|---|---|---|---|
| Grok Imagine 1.0 Video 720p | $0.0528 | $0.26 | $0.53 |
| Seedance 2.0 Mini Eco 720p | $0.07892 | $0.39 | $0.79 |
| PixVerse V6 720p | $0.08096 | $0.40 | $0.81 |
| Kling 3.0 720p | $0.09625 | $0.48 | $0.96 |
| Kling 3.0 1080p | $0.1237 | $0.62 | $1.24 |
| Vidu Q3 Turbo 720p | $0.1214 | $0.61 | $1.21 |
| Wan 3.0 720P | $0.1554 | $0.78 | $1.55 |
| MiniMax H3 768P | $0.1609 | $0.80 | $1.61 |
| Seedance 2.0 720p | $0.3382 | $1.69 | $3.38 |
| FLUX 3 Video hd | $0.3441 | $1.72 | $3.44 |
| HappyHorse 1.1 720p | $0.3993 | $2.00 | $3.99 |
| Seedance 2.5 720p | $0.587 | $2.94 | $5.87 |
For Kling 3.0 audio generation, rendering a 5-second 720p video with sound runs $0.688, while 5 seconds at 1080p with audio costs $0.928. Veo 3.1 Fast 4K clips are billed per 8-second generation at $1.62. Additional image generation models include Z-Image Turbo at $0.02 per image, GPT Image 2.5 at $0.05, FLUX.2 [pro] at $0.0688, Seedream 5.0 Pro at $0.0783, Qwen Image 3.0 at $0.0576, and FLUX 3 Image at $0.115 per generation.
Getting Started: AI API Without Subscription
Connecting your software to Jantaris takes just a few lines of configuration. Because the chat endpoints mirror standard protocols, you can repoint existing SDKs without rewriting core application logic.
OpenAI SDK Integration
from openai import OpenAI
client = OpenAI(base_url="https://jantaris.com/v1", api_key=os.environ["JANTARIS_API_KEY"])
resp = client.chat.completions.create(model="claude-sonnet-5.5", messages=[{"role": "user", "content": "..."}])Anthropic SDK Integration
from anthropic import Anthropic
client = Anthropic(base_url="https://jantaris.com", api_key=os.environ["JANTARIS_API_KEY"])
msg = client.messages.create(model="claude-sonnet-5.5", max_tokens=1024, messages=[{"role": "user", "content": "..."}])Claude Code Environment Setup
You can also direct command-line developer tools to use your unified balance. Check the Claude Code integration guide for details:
export ANTHROPIC_BASE_URL=https://jantaris.com
export ANTHROPIC_AUTH_TOKEN=sk-jt-...
export ANTHROPIC_MODEL=claude-sonnet-5.5
claudeImage Generation via cURL
curl "https://jantaris.com/v1/generate?wait=60" -H "Authorization: Bearer $JANTARIS_API_KEY" -H "Content-Type: application/json" -d '{"model":"nano-banana-pro","input":{"prompt":"...","aspect_ratio":"4:5","resolution":"2k"}}'Who Is Jantaris Designed For?
I structured Jantaris specifically for builders, independent operators, and teams who want flexible model evaluation without recurring operational overhead:
- Software engineers: Developers looking for an AI API without subscription tiers who prefer to fund a single balance instead of multiple monthly plans.
- Prompt designers and media creators: Users who want to compare text-to-video outputs across Kling 3.0, Seedance 2.5, and Veo 3.1 in Jantaris Studio without writing code.
- Autonomous agent workflows: Teams running coding environments like Cursor, Codex, and Claude Code who benefit from a unified endpoint and remote MCP server. Similar to setups covered in our Higgsfield MCP for Claude and ChatGPT guide, agentic workflows thrive when tooling is streamlined.
Guides on this blog
Frequently Asked Questions
What is Jantaris?
Jantaris is an AI platform I built that provides unified access to around 85 models across text, image, video, and audio. It includes both a browser-based Studio for non-coding workflows and standardized API endpoints compatible with the OpenAI and Anthropic SDKs.
Do I have to sign up for a monthly subscription?
No monthly subscription is required to use Jantaris. The service operates on a pure pay-as-you-go prepaid model starting with a $10 card deposit, and your remaining balance never expires.
What happens if a generation fails?
Failed generations cost $0. When an API or Studio call starts, the estimated cost is held temporarily; if the task fails or errors out, the hold is removed and your funds remain intact.
Can I use my existing OpenAI or Anthropic SDK code?
Yes, Jantaris endpoints support drop-in base URL replacement for both libraries. You simply set your base URL to the Jantaris endpoints and pass your Jantaris API key.
Are my prompts and outputs used to train models?
No, your input prompts and generated output assets are never used for model training. Output files are hosted on temporary URLs, so make sure to download your assets after generation.
Which models are available on the platform?
Jantaris hosts about 85 models, including Claude Opus 5.5, Sonnet 5.5, GPT-6 Sol, GPT-6 Astra, Gemini 3.6 Flash, Veo 3.1, Nano Banana Pro, and Kling 3.0. Certain exclusive models like Claude Haiku 5.5 and GPT-6.1 Sol are only available directly through their original makers.
Sources
- Anthropic Pricing Documentation
- OpenAI API Pricing Documentation
- Google Gemini API Pricing
- Claude Code Documentation
- Testing method: Quantslant Lab
Prices checked on 18 October 2026.
