Find the right intelligence
Explore models for reasoning, coding, conversation, and visual understanding. Start with the task your product needs to solve.
Explore managed LLM API inference for your product.
Build with
powerful language models without managing GPUs.
import os
import requests
response = requests.post(
os.environ["PROBSEEK_CHAT_ENDPOINT"],
headers={"Authorization":
"Bearer " + os.environ["PROBSEEK_API_KEY"]},
json={
"model": "xiaomi/mimo-v2.5",
"stream": False,
"max_tokens": 256,
"messages": [{"role": "user",
"content": "What could I build with AI?"}]
},
timeout=60
)
response.raise_for_status()
print(response.json())curl "${PROBSEEK_CHAT_ENDPOINT:?Set your full HTTPS chat endpoint}" \
--fail-with-body --max-time 60 \
-H "Authorization: Bearer $PROBSEEK_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "xiaomi/mimo-v2.5",
"stream": false,
"max_tokens": 256,
"messages": [{
"role": "user",
"content": "What could I build with AI?"
}]
}' This catalog describes models selected for ProbSeek v1. Confirm account access, endpoint features, and pricing before sending requests, and review the Terms of Service and Privacy & Data Policy. Access details · Privacy & Data Policy
Explore the models behind the possibilities
Four model families in the v1 catalog.
Less infrastructure. More invention.
Put language models to work without managing the machines behind them. A focused API service for the applications you want to build.
Explore models for reasoning, coding, conversation, and visual understanding. Start with the task your product needs to solve.
Send a prompt from your application and work with the response. Keep your product logic in your own codebase.
Use managed model inference without provisioning GPUs or operating a model server. Spend your effort on the experience.
The model is your starting point
Meet the models selected for the ProbSeek v1 catalog.
Multimodal understanding, long-context reasoning, and agent workflows in one model.
A language model for coding, multi-step reasoning, and reliable tool-driven workflows.
Native multimodal intelligence for coding, visual understanding, and extended agent tasks.
A multimodal model bringing efficient reasoning to coding and agentic applications.
Made for the way you build
A straightforward integration starts with three things: a model, an endpoint, and your API key.
Match its capabilities to your application.
Keep credentials on your server, outside your source code.
Evaluate outputs, handle errors, and shape the user experience.
GPU rentals are planned for a future release.
Today, ProbSeek is
focused on LLM API inference.
A few things to know
ProbSeek focuses on managed large language model (LLM) API inference, so developers can build without operating model servers. This website presents the v1 model catalog and integration examples; production access has not been confirmed here.
The ProbSeek v1 catalog includes MiMo-V2.5, Hy3, MiniMax-M3, GLM-5.3-Flash. These are catalog entries, not a live availability feed. Capabilities and context windows describe the upstream models; deployed features, model IDs, and serving limits require endpoint confirmation. Compare models and upstream specifications ↗
Self-service registration is not available from this website. Browse the catalog and integration examples. An enabled model ID, endpoint, API key, pricing, and effective data terms are required before making a request. Read the API integration guide ↗
Input and output token prices have not been announced on this website. Confirm rates, billing terms, enabled features, and account limits before sending requests.
GPU rentals are planned for a later release and are not available in v1. The v1 product scope is managed LLM inference.
ProbSeek does not use API inputs or outputs to train models. Inference currently runs in the United States (US). European Union (EU) inference is planned and is not currently available. Website examples do not send inference requests or collect API keys. ProbSeek does not log prompt or response content in routine inference logs. Operational metadata logs are retained for 7 days and then deleted. The 7-day period applies to operational metadata. Review the Privacy & Data Policy for its scope, other data-handling terms, and privacy requests. No blanket zero data retention commitment is offered. Read the Privacy & Data Policy ↗
Your next idea starts here