Golden path mock
mock-model-7dc2fa07a17a415586e64c8c94ddeacaOutput: $2.00 / 1M tokens · 4,096 context
- OpenAI-compatible API endpoint
- Streaming support (SSE)
- Pay-as-you-go billing
Access GPT, Claude, GLM, Kimi, MiniMax and more through one OpenAI-compatible API — built for coding, software products, agents and automation.
from openai import OpenAI
client = OpenAI(
api_key="am_live_...",
base_url="https://api.assetmeld.com/v1",
)
response = client.chat.completions.create(
model="MODEL_SLUG",
messages=[{"role": "user", "content": "Hello"}],
)Already using the OpenAI SDK? Change the base URL, choose a model, and keep building.
Prices are shown in USD per one million tokens and loaded directly from the live AssetMeld catalog. Add credit when you need it and pay only for API usage.
Output: $2.00 / 1M tokens · 4,096 context
Output: $20.00 / 1M tokens
Why AssetMeld
Access powerful AI models at lower prices than many first-party API options. No monthly subscription — add credit and pay only for what you use.
Use GPT, Claude, GLM, Kimi, MiniMax and other supported models without maintaining separate provider accounts, balances and integrations.
Already using the OpenAI SDK or compatible tooling? Change the base URL, use your AssetMeld key and select any enabled model ID.
Requests are served through a resilient inference layer designed to keep supported models available when individual routes have problems.
Built for developers
Whether you're coding with AI, shipping an AI feature or running autonomous workflows, AssetMeld gives you the same simple model interface.
Power coding assistants, code generation, debugging and development workflows with the model that fits the task and budget.
Add AI features to web apps, mobile apps and backend services without building a separate integration for every model provider.
Run AI agents, bots, pipelines and scheduled workflows through one API while switching models without rebuilding your infrastructure.
One API
AssetMeld exposes an OpenAI-compatible gateway at https://api.assetmeld.com/v1. Use one AssetMeld API key, select any enabled model from the catalog and keep the same client integration.
response = client.chat.completions.create(
model="mock-model-7dc2fa07a17a415586e64c8c94ddeaca",
messages=[{"role": "user", "content": "Review this code"}],
)response = client.chat.completions.create(
model="test-model-bfdb3f12",
messages=[{"role": "user", "content": "Review this code"}],
)Switching models should be a configuration change, not a new provider integration.
Streaming responses are forwarded incrementally, and every request includes anX-Request-ID for troubleshooting.
Model transparency
Verification information is published per model where available. Check the model catalog for verification status, source and supporting details before sending traffic.
We prefer showing evidence per model instead of making one blanket claim across the entire catalog.
Live status
FAQ
AssetMeld is a multi-model AI API gateway. You add prepaid credit, create one AssetMeld API key and use supported GPT, Claude, GLM, Kimi, MiniMax and other models through an OpenAI-compatible endpoint.
No. AssetMeld is designed as a multi-model platform. The available catalog can include GPT, Claude, GLM, Kimi, MiniMax, Gemini, DeepSeek and other model families. The Models page shows what is currently enabled.
Yes. Use your AssetMeld API key with https://api.assetmeld.com/v1 and select an enabled model ID from the catalog. Existing OpenAI-compatible integrations usually only need a new base URL, API key and model name. The current supported inference endpoint is POST /v1/chat/completions.
AssetMeld aggregates model access behind its own inference infrastructure and publishes its own retail pricing. Prices vary by model and are shown directly in the live catalog.
AssetMeld uses prepaid USD credit. Add balance, send API requests and pay according to the model price and reported token usage. There is no recurring AssetMeld subscription. Top-ups are currently verified manually through PayPal and Telegram support.
Verification information is shown per model where available. A model can include its verification status, verification source and supporting report so you can inspect the available evidence before using it.
The gateway reserves balance before a request and settles the final amount based on reported usage. Failed or incomplete requests are released or settled according to the billing state instead of blindly charging the initial estimate.
AssetMeld does not store prompt or completion content. Operational records contain metadata such as model, token usage, latency, charge, status and request ID. Upstream model handling may be subject to the policies applicable to the route serving the request.
Create an account, add credit and start using supported GPT, Claude, GLM, Kimi, MiniMax and other models through the same OpenAI-compatible endpoint.