AI API latency
Compare endpoint response times and availability across regions.
Fireworks AI · Asia (Tokyo)
52,992 network probes · last 24h
API endpoints monitored
Independent probe locations
Response time over 24 hours
Typical response (p50 TTFB) · Europe (Germany)
View hourly values
Hourly median (p50), in milliseconds. Times are UTC. A dash means no measurement.
| Date · UTC | OpenAI | Anthropic | |
|---|---|---|---|
| 10-22 08:00 | 293 | 198 | 96 |
| 10-22 07:00 | 293 | 203 | 101 |
| 10-22 06:00 | 298 | 203 | 99 |
| 10-22 05:00 | 225 | 198 | 98 |
| 10-22 04:00 | 305 | 199 | 96 |
| 10-22 03:00 | 295 | 202 | 98 |
| 10-22 02:00 | 297 | 290 | 101 |
| 10-22 01:00 | 205 | 198 | 100 |
| 10-22 00:00 | 200 | 200 | 98 |
| 10-21 23:00 | 267 | 199 | 98 |
| 10-21 22:00 | 299 | 199 | 100 |
| 10-21 21:00 | 209 | 200 | 102 |
| 10-21 20:00 | 289 | 204 | 99 |
| 10-21 19:00 | 295 | 293 | 97 |
| 10-21 18:00 | 299 | 199 | 97 |
| 10-21 17:00 | 301 | 199 | 100 |
| 10-21 16:00 | 295 | 201 | 102 |
| 10-21 15:00 | 299 | 200 | 99 |
| 10-21 14:00 | 296 | 200 | 100 |
| 10-21 13:00 | 299 | 198 | 100 |
| 10-21 12:00 | 303 | 199 | 99 |
| 10-21 11:00 | 300 | 201 | 104 |
| 10-21 10:00 | 292 | 201 | 92 |
| 10-21 09:00 | 295 | 207 | 103 |
Speed index
Relative endpoint speed · 4 measured regions
100 matches the fastest endpoint in every measured region. 50 means twice the latency in a region; scores are averaged across regions.
Full rankings & scoring methodProvider rankings
Choose the region closest to your application’s server · last 24 hours
How to read these metrics
Typical response · p50Half of successful timed probes were this fast or faster. Lower is better.
Slower responses · p9595% of successful timed probes were this fast or faster. This shows how latency behaves on slower requests.
AvailabilityThe share of successful network probes. Higher is better. Samples show how many probes were made.
TTFB measures the network and API endpoint, before a model generates an answer. It does not measure answer quality or generation speed. Compare model TTFT or read the measurement method. A dash means no timing data.
Asia (Tokyo)
| Rank | Provider | Typical responsep50 TTFB · ms | Slower responsesp95 TTFB · ms | AvailabilitySuccessful probes | SamplesLast 24 hours |
|---|---|---|---|---|---|
| 01 | Fireworks AI | 19 ms | 60 ms | 100% | 288 |
| 02 | SambaNova | 27 ms | 73 ms | 100% | 288 |
| 03 | upstage | 59 ms | 77 ms | 100% | 288 |
| 04 | OpenRouter | 61 ms | 136 ms | 100% | 288 |
| 05 | 66 ms | 134 ms | 100% | 288 | |
| 06 | glm | 91 ms | 155 ms | 100% | 288 |
| 07 | meta-llama | 117 ms | 288 ms | 100% | 288 |
| 08 | kimi | 131 ms | 221 ms | 100% | 288 |
| 09 | ernie | 135 ms | 163 ms | 100% | 288 |
| 10 | baichuan | 140 ms | 518 ms | 99.0% | 288 |
| 11 | TypeSafe | 146 ms | 166 ms | 100% | 288 |
| 12 | novita | 150 ms | 214 ms | 100% | 288 |
| 13 | qwen | 159 ms | 219 ms | 100% | 288 |
| 14 | Groq | 165 ms | 251 ms | 100% | 288 |
| 15 | baseten | 168 ms | 194 ms | 100% | 288 |
| 16 | xAI | 170 ms | 264 ms | 100% | 288 |
| 17 | Cohere | 181 ms | 223 ms | 100% | 288 |
| 18 | DeepSeek | 182 ms | 249 ms | 100% | 288 |
| 19 | Together AI | 182 ms | 351 ms | 100% | 288 |
| 20 | yi-01ai | 191 ms | 1,282 ms | 85.8% | 288 |
| 21 | replicate | 200 ms | 480 ms | 100% | 288 |
| 22 | Cerebras | 205 ms | 285 ms | 99.7% | 288 |
| 23 | inference-net | 206 ms | 457 ms | 100% | 288 |
| 24 | OpenAI | 209 ms | 306 ms | 100% | 288 |
| 25 | Perplexity | 219 ms | 300 ms | 100% | 288 |
| 26 | minimax | 222 ms | 255 ms | 100% | 288 |
| 27 | iflytek | 234 ms | 839 ms | 99.0% | 288 |
| 28 | Anthropic | 240 ms | 322 ms | 100% | 288 |
| 29 | sarvam | 251 ms | 265 ms | 100% | 288 |
| 30 | reka | 273 ms | 626 ms | 100% | 288 |
| 31 | writer | 274 ms | 378 ms | 100% | 288 |
| 32 | friendli | 277 ms | 508 ms | 100% | 288 |
| 33 | targon | 316 ms | 334 ms | 100% | 288 |
| 34 | Mistral | 322 ms | 391 ms | 100% | 288 |
| 35 | stepfun | 345 ms | 960 ms | 100% | 288 |
| 36 | ai21 | 349 ms | 471 ms | 100% | 288 |
| 37 | siliconflow | 371 ms | 396 ms | 100% | 288 |
| 38 | sensenova | 441 ms | 1,128 ms | 100% | 288 |
| 39 | deepinfra | 447 ms | 977 ms | 100% | 288 |
| 40 | nebius | 479 ms | 523 ms | 100% | 288 |
| 41 | hyperbolic | 484 ms | 561 ms | 100% | 288 |
| 42 | doubao | 494 ms | 1,217 ms | 99.3% | 288 |
| 43 | featherless | 516 ms | 2,857 ms | 99.7% | 288 |
| 44 | nscale | 541 ms | 548 ms | 100% | 288 |
| 45 | aleph-alpha | 548 ms | 583 ms | 100% | 288 |
| 46 | hunyuan | 1,115 ms | 1,125 ms | 100% | 288 |
No matching providers. Try another name.
Europe (Germany)
| Rank | Provider | Typical responsep50 TTFB · ms | Slower responsesp95 TTFB · ms | AvailabilitySuccessful probes | SamplesLast 24 hours |
|---|---|---|---|---|---|
| 01 | Fireworks AI | 98 ms | 203 ms | 99.7% | 288 |
| 02 | nscale | 98 ms | 204 ms | 99.7% | 288 |
| 03 | 99 ms | 202 ms | 100% | 288 | |
| 04 | OpenRouter | 99 ms | 203 ms | 100% | 288 |
| 05 | aleph-alpha | 100 ms | 204 ms | 100% | 288 |
| 06 | meta-llama | 100 ms | 206 ms | 100% | 288 |
| 07 | nebius | 100 ms | 299 ms | 100% | 288 |
| 08 | Mistral | 102 ms | 296 ms | 99.3% | 288 |
| 09 | inference-net | 104 ms | 594 ms | 99.3% | 288 |
| 10 | baichuan | 196 ms | 497 ms | 100% | 288 |
| 11 | TypeSafe | 198 ms | 299 ms | 99.7% | 288 |
| 12 | Cerebras | 198 ms | 305 ms | 99.3% | 288 |
| 13 | Cohere | 199 ms | 306 ms | 100% | 288 |
| 14 | Perplexity | 199 ms | 308 ms | 100% | 288 |
| 15 | glm | 199 ms | 305 ms | 100% | 288 |
| 16 | baseten | 199 ms | 303 ms | 100% | 288 |
| 17 | Anthropic | 200 ms | 308 ms | 98.6% | 288 |
| 18 | replicate | 200 ms | 405 ms | 99.0% | 288 |
| 19 | reka | 206 ms | 504 ms | 100% | 288 |
| 20 | yi-01ai | 228 ms | 400 ms | 100% | 288 |
| 21 | ernie | 284 ms | 303 ms | 100% | 288 |
| 22 | OpenAI | 294 ms | 490 ms | 99.3% | 288 |
| 23 | xAI | 295 ms | 400 ms | 99.3% | 288 |
| 24 | siliconflow | 295 ms | 399 ms | 100% | 288 |
| 25 | sarvam | 295 ms | 306 ms | 100% | 288 |
| 26 | Together AI | 297 ms | 496 ms | 99.3% | 288 |
| 27 | Groq | 297 ms | 405 ms | 99.3% | 288 |
| 28 | writer | 297 ms | 498 ms | 100% | 288 |
| 29 | targon | 297 ms | 400 ms | 100% | 288 |
| 30 | novita | 298 ms | 494 ms | 99.0% | 288 |
| 31 | DeepSeek | 299 ms | 404 ms | 100% | 288 |
| 32 | kimi | 299 ms | 497 ms | 99.0% | 288 |
| 33 | iflytek | 300 ms | 755 ms | 100% | 288 |
| 34 | doubao | 360 ms | 798 ms | 100% | 288 |
| 35 | sensenova | 394 ms | 951 ms | 100% | 288 |
| 36 | SambaNova | 396 ms | 503 ms | 100% | 288 |
| 37 | friendli | 396 ms | 800 ms | 100% | 288 |
| 38 | minimax | 400 ms | 600 ms | 100% | 288 |
| 39 | ai21 | 400 ms | 601 ms | 99.7% | 288 |
| 40 | qwen | 400 ms | 700 ms | 100% | 288 |
| 41 | stepfun | 413 ms | 1,043 ms | 100% | 288 |
| 42 | hyperbolic | 494 ms | 899 ms | 98.6% | 288 |
| 43 | upstage | 548 ms | 602 ms | 100% | 288 |
| 44 | deepinfra | 594 ms | 1,098 ms | 100% | 288 |
| 45 | featherless | 701 ms | 2,395 ms | 99.7% | 288 |
| 46 | hunyuan | 1,533 ms | 1,598 ms | 100% | 288 |
No matching providers. Try another name.
South America (São Paulo)
| Rank | Provider | Typical responsep50 TTFB · ms | Slower responsesp95 TTFB · ms | AvailabilitySuccessful probes | SamplesLast 24 hours |
|---|---|---|---|---|---|
| 01 | OpenRouter | 62 ms | 101 ms | 100% | 288 |
| 02 | 140 ms | 240 ms | 100% | 288 | |
| 03 | baseten | 153 ms | 167 ms | 100% | 288 |
| 04 | Cohere | 166 ms | 200 ms | 100% | 288 |
| 05 | TypeSafe | 174 ms | 186 ms | 100% | 288 |
| 06 | Cerebras | 188 ms | 255 ms | 100% | 288 |
| 07 | Anthropic | 196 ms | 257 ms | 100% | 288 |
| 08 | Perplexity | 200 ms | 428 ms | 100% | 288 |
| 09 | reka | 207 ms | 449 ms | 100% | 288 |
| 10 | meta-llama | 218 ms | 377 ms | 100% | 288 |
| 11 | inference-net | 234 ms | 561 ms | 100% | 288 |
| 12 | Groq | 236 ms | 300 ms | 100% | 288 |
| 13 | xAI | 238 ms | 425 ms | 100% | 288 |
| 14 | writer | 246 ms | 294 ms | 100% | 288 |
| 15 | novita | 247 ms | 309 ms | 100% | 288 |
| 16 | Fireworks AI | 252 ms | 276 ms | 100% | 288 |
| 17 | replicate | 252 ms | 542 ms | 100% | 288 |
| 18 | Mistral | 255 ms | 344 ms | 100% | 288 |
| 19 | OpenAI | 257 ms | 589 ms | 100% | 288 |
| 20 | friendli | 269 ms | 372 ms | 100% | 288 |
| 21 | Together AI | 270 ms | 654 ms | 100% | 288 |
| 22 | siliconflow | 285 ms | 289 ms | 100% | 288 |
| 23 | targon | 317 ms | 329 ms | 100% | 288 |
| 24 | ai21 | 326 ms | 467 ms | 100% | 288 |
| 25 | yi-01ai | 330 ms | 1,176 ms | 100% | 288 |
| 26 | kimi | 356 ms | 463 ms | 100% | 288 |
| 27 | baichuan | 359 ms | 390 ms | 100% | 288 |
| 28 | nebius | 366 ms | 374 ms | 100% | 288 |
| 29 | SambaNova | 371 ms | 399 ms | 100% | 288 |
| 30 | ernie | 408 ms | 451 ms | 100% | 288 |
| 31 | DeepSeek | 438 ms | 498 ms | 100% | 288 |
| 32 | aleph-alpha | 442 ms | 473 ms | 100% | 288 |
| 33 | nscale | 450 ms | 454 ms | 100% | 288 |
| 34 | minimax | 487 ms | 519 ms | 100% | 288 |
| 35 | deepinfra | 536 ms | 1,045 ms | 99.7% | 288 |
| 36 | glm | 537 ms | 566 ms | 100% | 288 |
| 37 | upstage | 606 ms | 646 ms | 100% | 288 |
| 38 | sarvam | 625 ms | 645 ms | 99.0% | 288 |
| 39 | sensenova | 632 ms | 1,504 ms | 99.7% | 288 |
| 40 | iflytek | 650 ms | 1,590 ms | 100% | 288 |
| 41 | stepfun | 658 ms | 1,597 ms | 100% | 288 |
| 42 | doubao | 694 ms | 1,595 ms | 99.7% | 288 |
| 43 | qwen | 713 ms | 772 ms | 100% | 288 |
| 44 | featherless | 757 ms | 3,089 ms | 100% | 288 |
| 45 | hyperbolic | 841 ms | 926 ms | 100% | 288 |
| 46 | hunyuan | 1,657 ms | 1,739 ms | 100% | 288 |
No matching providers. Try another name.
US (Central)
| Rank | Provider | Typical responsep50 TTFB · ms | Slower responsesp95 TTFB · ms | AvailabilitySuccessful probes | SamplesLast 24 hours |
|---|---|---|---|---|---|
| 01 | Fireworks AI | 28 ms | 71 ms | 100% | 288 |
| 02 | baseten | 46 ms | 60 ms | 100% | 288 |
| 03 | meta-llama | 51 ms | 112 ms | 100% | 288 |
| 04 | 59 ms | 149 ms | 100% | 288 | |
| 05 | Cohere | 63 ms | 132 ms | 100% | 288 |
| 06 | OpenRouter | 64 ms | 142 ms | 100% | 288 |
| 07 | Cerebras | 76 ms | 149 ms | 100% | 288 |
| 08 | TypeSafe | 76 ms | 96 ms | 100% | 288 |
| 09 | siliconflow | 79 ms | 103 ms | 100% | 288 |
| 10 | novita | 80 ms | 160 ms | 100% | 288 |
| 11 | Perplexity | 87 ms | 143 ms | 100% | 288 |
| 12 | replicate | 88 ms | 147 ms | 100% | 288 |
| 13 | targon | 90 ms | 102 ms | 100% | 288 |
| 14 | Anthropic | 94 ms | 158 ms | 100% | 288 |
| 15 | reka | 96 ms | 183 ms | 99.7% | 288 |
| 16 | xAI | 116 ms | 186 ms | 100% | 288 |
| 17 | Groq | 117 ms | 190 ms | 100% | 288 |
| 18 | hyperbolic | 124 ms | 266 ms | 100% | 288 |
| 19 | Together AI | 126 ms | 211 ms | 99.7% | 288 |
| 20 | OpenAI | 147 ms | 226 ms | 100% | 288 |
| 21 | writer | 155 ms | 213 ms | 100% | 288 |
| 22 | inference-net | 160 ms | 435 ms | 100% | 288 |
| 23 | friendli | 163 ms | 241 ms | 100% | 288 |
| 24 | deepinfra | 164 ms | 643 ms | 100% | 288 |
| 25 | SambaNova | 170 ms | 215 ms | 100% | 288 |
| 26 | nebius | 175 ms | 209 ms | 100% | 288 |
| 27 | Mistral | 200 ms | 276 ms | 100% | 288 |
| 28 | yi-01ai | 220 ms | 258 ms | 100% | 288 |
| 29 | ai21 | 235 ms | 372 ms | 99.7% | 288 |
| 30 | nscale | 236 ms | 242 ms | 100% | 288 |
| 31 | baichuan | 237 ms | 866 ms | 100% | 288 |
| 32 | glm | 253 ms | 296 ms | 100% | 288 |
| 33 | aleph-alpha | 256 ms | 313 ms | 100% | 288 |
| 34 | kimi | 268 ms | 403 ms | 100% | 288 |
| 35 | ernie | 269 ms | 282 ms | 100% | 288 |
| 36 | DeepSeek | 316 ms | 384 ms | 100% | 288 |
| 37 | minimax | 339 ms | 361 ms | 100% | 288 |
| 38 | upstage | 354 ms | 374 ms | 100% | 288 |
| 39 | featherless | 368 ms | 2,810 ms | 99.7% | 288 |
| 40 | stepfun | 398 ms | 1,006 ms | 100% | 288 |
| 41 | qwen | 406 ms | 455 ms | 100% | 288 |
| 42 | sensenova | 406 ms | 1,046 ms | 99.7% | 288 |
| 43 | iflytek | 410 ms | 1,128 ms | 100% | 288 |
| 44 | doubao | 457 ms | 1,086 ms | 100% | 288 |
| 45 | sarvam | 499 ms | 518 ms | 100% | 288 |
| 46 | hunyuan | 1,382 ms | 1,398 ms | 100% | 288 |
No matching providers. Try another name.
Is any AI API down right now?
1 confirmed outage(s) in the last 24 hours: Google
46 providers · probed every 5 minutes from 4 regions · last probe Oct 22, 08:41 UTC
Status pages currently reporting an open incident: OpenAI (minor “ChatGPT conversion failures in India, Japan and Korea. And Response AP”) — self-reported by the provider, checked Oct 22, 08:17 UTC. Our probes test the API host; errors limited to individual models are visible only to the provider.
Live status per provider: OpenAI API · Claude API (Anthropic) · Gemini API (Google) · Mistral API · DeepSeek API · xAI API · Groq API · Cerebras API · SambaNova API · Together AI API · Fireworks AI API · OpenRouter API · TypeSafe API
Endpoint availability · hourly probe results
Last 72 hours · UTC · newest time on the right · current hour is incomplete.
One row per provider. Each block shows the results of one hour’s endpoint probes, combined across regions. Adjacent hours with all successes or no data are joined.
all probes succeededsome failed (under half)half or more failedno probes recorded
Probe counts by provider
Fastest by region
Lowest typical response (p50 TTFB) · last 24 hours
Which AI API is fastest right now?
As of October 22, 2026, the fastest-responding AI inference API by edge latency (time-to-first-byte) is fireworks at 19 ms p50, measured from Asia (Tokyo) (100% uptime, n=288). Rankings differ by region.
Edge latency (TTFB) measures the network and API endpoint; inference TTFT is measured separately. Methodology