What is the best AI model for speed and low latency?
Fastest Models and Providers
Groq provides extremely low-latency inference for open-source models like Llama 3 and Mixtral, often achieving hundreds of tokens per second. This makes it ideal for real-time applications like chatbots or voice assistants.
Among proprietary models, GPT-4o mini, Claude Haiku, and Gemini Flash are optimized for speed and cost. They typically respond in under a second for short prompts, though latency varies with load and region.
- Groq: fastest for Llama, Mixtral, and other open models
- GPT-4o mini: fast and widely available
- Claude Haiku: low-latency for Anthropic's lineup
- Gemini Flash: Google's speed-optimized model
- Together AI / Fireworks: offer fast inference for open models
What Affects Latency
Latency depends on model size, provider infrastructure, and network distance. Smaller models generally respond faster, but provider optimizations like Groq's LPU can make even large models very fast.
For real-time apps, choose a provider with edge locations near your users and consider streaming responses to improve perceived speed. Also, keep prompts short to reduce processing time.
Common mistakes
- Assuming the largest, most capable model is also the fastest; usually the opposite is true.
- Ignoring network latency; even a fast model can feel slow if your server is far from the provider.
- Not testing with real-world prompt lengths, as latency increases with input size.
