The fastest way to build on MineAI Foundation Models
Prototype multimodal concepts in seconds, test prompts across 2 million tokens of native context, and export production-ready SDK code with real-time analytics.
Test Real Prompts & Parameters Live
Switch between multimodal workloads and experience how MineAI models execute complex tasks.
Architectural Superpowers Built for Scale
Everything you need to move from experimental concept to high-throughput production infrastructure.
2-Million-Token Infinite Context Window
Ingest 1 hour of raw 4K video, 60,000 lines of complex codebase, or 35 entire research books in a single prompt. No lossy vector chunking, no embedding drift, and 99.8% needle-in-a-haystack recall.
Sub-50ms TTFT
Engineered with speculative decoding and Flash kernels for real-time audio chat, interactive voice, and streaming agent feedback loops.
100% Guaranteed JSON Schema
Constrained decoding forces token generation into formal schema state machines. Zero syntax errors, zero missing brackets, zero hallucinations.
Integrated Clerk Auth & Convex Realtime DB
Zero-setup backend infrastructure. User accounts, encrypted secret keys, telemetry logs, and inference credit balances are persistently synced and audited.
MineAI Foundation Models
MineAI O1 Pro
RecommendedThinking & Reasoning Workhorse
Our flagship multimodal model with deep internal reasoning, advanced coding capabilities, and complex multi-step document synthesis.
MineAI R3 Ry-Z
NewHigh-Performance Autonomous Reasoning
Optimized for automated programming, debugging, full-stack refactoring, and structured reasoning pipelines.
MineAI R3 Ry-Y
Balanced General Intelligence
A fast, balanced intelligence model suitable for natural conversation, text transformation, summarization, and workflow automation.
Integrate in 3 Lines of Code
Connect using the MineAI SDK for Python, Node.js, and Go, or invoke the standard REST API directly using your secret key.
# Install: pip install mineai-sdk
from mineai import MineAI
client = MineAI(api_key="mine_live_...")
response = client.chat.completions.create(
model="mine:o1-paid",
messages=[{"role": "user", "content": "Synthesize architectural insights across 128k tokens"}],
temperature=0.7,
max_tokens=4096,
)
print(response.choices[0].message.content)Frequently Asked Questions
Everything about model capabilities, billing credits, and developer tools.
Ready to build the future of multimodal AI?
Sign up in 30 seconds via Clerk, deploy your first prompt on Convex, and start querying MineAI O1 Pro today.