The ModelStats blog
Data-driven insights on LLM API speed, latency and reliability — backed by real monitoring data.
What counts as a good TTFT for an LLM API? Practical target ranges by use case — chat, autocomplete, agents — and why you should budget for the P95 tail.
Read articleHow GPT-4o and Google's Gemini Flash compare on TTFT, total latency, and throughput, plus what the speed-versus-finish tradeoff means for your app.
How do GPT-4o and Gemini 3.5 Flash compare on TTFT, latency, and throughput? We break down the speed tradeoffs using real monitoring data and vendor benchmarks.
The cheapest LLM APIs for high-throughput work in 2026: DeepSeek V4-Pro's 75% price cut, Gemini's fast Flash tier, and how to weigh cost vs tokens/sec.
Anthropic just shipped Claude Opus 4.8. We added it to ModelStats on day one. Here's the early TTFT, throughput, and latency data versus Opus 4.7, GPT-4o, and Gemini.
A side-by-side look at Claude Opus 4.8 versus Opus 4.7 — pricing, agentic coding gains, fast mode, and real API latency and throughput data from ModelStats.
Real-time performance data for Claude Opus 4.7. How fast is Anthropic's latest flagship compared to Opus 4.6, GPT-4o, and Gemini?
Complete speed comparison of 16 LLM APIs: Claude, GPT-4, Gemini, DeepSeek. Ranked by TTFT, throughput, and latency with real monitoring data.
Real-time o3 performance data: TTFT, latency, tokens per second, and how it compares to o4-mini, GPT-4o, and DeepSeek R1.
Every LLM API has latency spikes. We analyzed 24 hours of real ping data to show the gap between P50 and P99 for Claude, GPT-4, Gemini, and DeepSeek.