LLM API Latency Benchmarks 2026: Speed Comparison Across Providers

Latency strongly influences AI user experience, with time-to-first-token (TTFT) determining perceived responsiveness and tokens per second affecting completion time for longer outputs. Based on July 2026 US East median benchmarks, Groq offers the lowest TTFT at about 120 ms through custom LPU hardware, while Cerebras provides the highest generation throughput through wafer-scale hardware; Google Gemini 2.5 Flash combines sub-300 ms TTFT with the lowest listed input price, whereas OpenAI and Anthropic prioritize frontier-model quality at generally higher latency and cost. Provider selection should reflect the task: Groq or Cerebras suit real-time features, Anthropic or OpenAI suit complex reasoning, and Gemini Flash or Mistral offer a middle ground for general-purpose workloads. Recommended latency practices include streaming responses, shortening prompts, caching repeated prompt content, deploying near provider data centers, and using routing with fallbacks—such as through Eden AI—to balance speed, quality, cost, and reliability across providers.

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