What is the fastest llm to respond?
# ask-aip
proud-arm-11784
08/05/2025, 1:08 PMWhat is the fastest llm to respond?
t
tall-airline-16756
08/05/2025, 1:08 PMThanks for reaching out, Jonas. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
tall-airline-16756
08/05/2025, 1:08 PMThe fastest LLM available in LiveKit for responding is Groq's "llama-3.1-8b-instant" model. It is specifically optimized for low-latency and real-time applications, making it ideal for scenarios where quick responses are critical.
Key features include:
• Low-latency interaction, achieving a response time of approximately 200ms for tokenized text generation.
• Seamless integration with LiveKit for efficient processing and minimal delay.
• Part of a broader ecosystem supporting end-to-end low-latency voice AI pipelines.
If you need further details or assistance with implementation, let me know!
Sources: examples/voice_agents/fast-preresponse.py | Groq integration guide | LiveKit Docs | Llama and LiveKit | LiveKit Docs | README.md | Groq and LiveKit | LiveKit Docs
k
kind-iron-94532
08/05/2025, 2:14 PMmodel with best balance of speed and intelligence is gpt-4.1-mini-2025-04-14
❤️ 1
t
tall-airline-16756
08/05/2025, 2:15 PMHey there! LiveKit supports a bunch of different models, but I didn’t come across any details about the "gpt-4.1-mini-2025-04-14" model. Are you looking for something that balances speed and smarts? If this is a custom model or from a specific provider, just let me know! I’d be happy to help you find the best fit or suggest some alternatives that work well with LiveKit.
Sources: livekit-plugins/livekit-plugins-openai/livekit/plugins/openai/models.py
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