You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference
cs.AI
Submitted: 2026-09-29
Updated: 2026-09-29
Sources
- FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
- Evaluating Large Language Models Trained on Code
- Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
- Training Verifiers to Solve Math Word Problems
- GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
- Measuring Massive Multitask Language Understanding
- RouterBench: A Benchmark for Multi-LLM Routing System
- When Is the Same Model Not the Same Service? A Measurement Study of Hosted Open-Weight LLM APIs
- Evaluating Quantized Large Language Models
- CARROT: A Cost Aware Rate Optimal Router
- Cost-Optimal LLM Routing with Limited User Feedback under User Satisfaction Guarantees
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