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Note: The list of supported base models is listed on the same page. If you need a base model that is not listed, please contact us at feedback@deepinfra.com
Rate limit will apply on combined traffic of all LoRA adapter models with the same base model. For example, if you have 2 LoRA adapter models with the same base model, and have rate limit of 200. Those 2 LoRA adapter models combined will have rate limit of 200.
Pricing is 50% higher than base model.
LoRA adapter model speed is lower than base model, because there is additional compute and memory overhead to apply the LoRA adapter. From our benchmarks, the LoRA adapter model speed is about 50-60% slower than base model.
You could merge the LoRA adapter with the base model to reduce the overhead. And use custom deployment, the speed will be close to the base model.
Kimi K2 0905 API Benchmarks: Latency, Throughput & Cost<p>About Kimi K2 0905 Kimi K2 0905 is a state-of-the-art large language model developed by Moonshot AI, representing a significant advancement in open-weight AI capabilities. This Mixture-of-Experts (MoE) model features 1 trillion total parameters with 32 billion activated parameters per forward pass, making it highly efficient while maintaining frontier-level performance. The model supports a 256k […]</p>
How to deploy google/flan-ul2 - simple. (open source ChatGPT alternative)Flan-UL2 is probably the best open source model available right now for chatbots. In this post
we will show you how to get started with it very easily. Flan-UL2 is large -
20B parameters. It is fine tuned version of the UL2 model using Flan dataset.
Because this is quite a large model it is not eas...
NVIDIA Nemotron API Pricing Guide 2026<p>While everyone knows Llama 3 and Qwen, a quieter revolution has been happening in NVIDIA’s labs. They have been taking standard Llama models and “supercharging” them using advanced alignment techniques and pruning methods. The result is Nemotron—a family of models that frequently tops the “Helpfulness” leaderboards (like Arena Hard), often beating GPT-4o while being significantly […]</p>
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