AI Goldmine

The Fastest AI Models: Latency and Generation Benchmarks

For conversational interfaces, generation latency is critical. We benchmarked tokens per second and time-to-first-token (TTFT) across major providers and models to find the fastest endpoints.

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1. Understanding Latency Metrics

Measure two metrics: Time-to-First-Token (TTFT), representing server latency, and Tokens Per Second, representing model generation speed.

2. LPU Hardware and Serverless Hosting Speeds

Hardware accelerators (like Groq's LPUs) host models at speeds exceeding 200 tokens/sec for Llama 3 8B, significantly faster than standard GPU hosting.

3. Proprietary APIs: GPT-4o-mini vs. Claude Haiku

Managed APIs are slower due to network hops. GPT-4o-mini and Claude 3.5 Haiku average 50-80 tokens/sec, sufficient for real-time interfaces.

Frequently Asked Questions

What is the fastest LLM API?

Groq Cloud is the fastest, hosting models at speeds exceeding 200 tokens per second using specialized hardware accelerators.

Does prompt caching improve generation speed?

Caching reduces TTFT by avoiding recalculation of the prompt prefill phase, improving initial response speeds.