MiniMax — Chinese LLM family with hybrid attention for extreme-length contexts.
Key strengths
- Very long context
- Hybrid attention architecture
- Good reasoning
- Chinese + English
Use cases
- Book-length inputs
- Long conversations
- RAG over huge corpora
- Research
MiniMax's minimax/minimax-music-2.0 is a high-quality speech model. It generates natural-sounding speech across multiple voices and languages, with low-latency streaming output suitable for real-time voice applications.
Supports SSML-style controls, configurable voices, speaking rate, and pitch. Compatible with the OpenAI `/audio/speech` and `/audio/transcriptions` endpoint shapes.
minimax/minimax-music-2.0 is fully OpenAI-compatible — drop in your existing OpenAI Python or Node SDK and switch `baseURL` to `https://api.tokenlx.ai`. TokenLX transparently routes your requests to the optimal provider endpoint while preserving streaming, function-calling, and structured-output semantics.
Performance
Compare different providers across TokenLX · All locations.
Effective Pricing
Pricing is shown by the model billing method, using per-call or per-second prices and resolution tiers.
Recent activity
Total usage per day on TokenLX (last 30 days).
Sample code & API
TokenLX normalizes requests and responses across providers. Use any OpenAI SDK or our native SDK.
# Python — use HTTP client directly
# Endpoint: POST https://api.tokenlx.ai/v1/videos/generations
# Headers: Authorization: Bearer $TOKENLX_API_KEY
# Body: { "model": "minimax-music-2.0", "prompt": "...", "duration": 5 }Replace sk-aihubrouter-… with your key from the dashboard.