What is the fastest AI API?
There is no single fastest AI API. As of July 24, 2026, 3 different providers hold the lead across 4 measured regions: Asia (Tokyo) — fireworks (18 ms), Europe (Germany) — nscale (98 ms), South America (São Paulo) — openrouter (58 ms), US (Central) — fireworks (27 ms). The fastest API for you is the one closest to your users, not the one that wins a benchmark run from a single location.
Which AI API is fastest in each region?
| Region | Fastest API | p50 TTFB | p95 | Uptime | Samples |
|---|---|---|---|---|---|
| Asia (Tokyo) | fireworks | 18 ms | 85 ms | 100% | 290 |
| Europe (Germany) | nscale | 98 ms | 200 ms | 100% | 279 |
| South America (São Paulo) | openrouter | 58 ms | 80 ms | 100% | 291 |
| US (Central) | fireworks | 27 ms | 86 ms | 100% | 290 |
Edge latency (time-to-first-byte), last 24 hours, measured directly against each provider’s API host. Full ranking per region →
Why is there no single fastest AI API?
The same provider is not equally fast everywhere. sambanova responds in 22 ms from Asia (Tokyo) but 396 ms from Europe (Germany) — a 18.4× difference for the identical API, driven by where the request originates.
| Provider | Fastest | from | Slowest | from | Spread |
|---|---|---|---|---|---|
| sambanova | 22 ms | Asia (Tokyo) | 396 ms | Europe (Germany) | 18.4× |
| fireworks | 18 ms | Asia (Tokyo) | 260 ms | South America (São Paulo) | 14.0× |
| upstage | 61 ms | Asia (Tokyo) | 601 ms | South America (São Paulo) | 9.9× |
| reka | 101 ms | Europe (Germany) | 602 ms | South America (São Paulo) | 6.0× |
| aleph-alpha | 99 ms | Europe (Germany) | 564 ms | Asia (Tokyo) | 5.7× |
| replicate | 72 ms | US (Central) | 394 ms | South America (São Paulo) | 5.5× |
| nebius | 101 ms | Europe (Germany) | 546 ms | Asia (Tokyo) | 5.4× |
| nscale | 98 ms | Europe (Germany) | 454 ms | Asia (Tokyo) | 4.6× |
| siliconflow | 82 ms | US (Central) | 376 ms | Asia (Tokyo) | 4.6× |
| novita | 70 ms | US (Central) | 298 ms | Europe (Germany) | 4.2× |
Providers measured in all 4 regions, ranked by how much their latency varies by origin. This is the part a single-location benchmark cannot show.
How should I use this?
Pick the provider that is fastest from where your traffic originates, not the one that tops a global list. If you serve users in several regions, the tables above will often point at different providers for each — that is a real result, not noise. Edge latency is the floor: it is what you pay before the model generates a single token, on every request, and no amount of prompt tuning removes it.
These figures are edge latency (TTFB), which isolates network and endpoint responsiveness. Inference time-to-first-token depends on the model you call and is reported separately on the region pages, where the model is named next to every figure.
Where does this data come from?
Independent probes in 4 regions measure 45 AI inference APIs every five minutes and publish the result automatically. No provider pays for placement and nothing is ranked by commission. The full method, including its limitations, is on the methodology page; the underlying numbers are available as JSON under CC BY 4.0.