Model Multiplexer
Multiplexes Large Language Model APIs with automatic fallbacks.
Pricing
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Flat rate
Adoption
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Open Source
Data freshness
—Overview
What is Model Multiplexer?
A multiplexer for Large Language Model APIs built on the OpenAI SDK, combining quotas from multiple models and automatically using fallback models when primary ones are rate-limited. It ensures continuous access to language model capabilities without interruptions due to API limits.
Key differentiator
“The @upstash/model-multiplexer is unique in its ability to automatically manage and switch between multiple language models based on rate limits, ensuring uninterrupted service without manual intervention.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
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Fit analysis
Who is it for?
✓ Best for
Teams building applications with heavy reliance on language model APIs who need to avoid rate limits.
Developers looking for a seamless way to integrate and manage multiple large language models in their projects.
✕ Not a fit for
Projects that require real-time streaming capabilities as the tool focuses on API calls rather than continuous data streams.
Applications where all model APIs are expected to have consistent availability, eliminating the need for fallback mechanisms.
Cost structure
Pricing
Free Tier
None
Starts at
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Model
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Enterprise
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Performance benchmarks
How Fast Is It?
Next step
Get Started with Model Multiplexer
Step-by-step setup guide with code examples and common gotchas.