AI API latency
Compare endpoint response times and availability across regions.
Fireworks AI · Europe (Germany)
50,423 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 | |
|---|---|---|---|
| 11-08 04:00 | 322 | 198 | 86 |
| 11-08 03:00 | 248 | 188 | 93 |
| 11-08 02:00 | 209 | 192 | 84 |
| 11-08 01:00 | 312 | 189 | 92 |
| 11-08 00:00 | 319 | 198 | 27 |
| 11-07 23:00 | 235 | 197 | 93 |
| 11-07 22:00 | 280 | 200 | 93 |
| 11-07 21:00 | 297 | 200 | 97 |
| 11-07 20:00 | 206 | 198 | 96 |
| 11-07 19:00 | 221 | 199 | 98 |
| 11-07 18:00 | 298 | 200 | 95 |
| 11-07 17:00 | 328 | 201 | 85 |
| 11-07 16:00 | 323 | 197 | 91 |
| 11-07 15:00 | 212 | 197 | 89 |
| 11-07 14:00 | 219 | 199 | 97 |
| 11-07 13:00 | 211 | 197 | 97 |
| 11-07 12:00 | 215 | 196 | 97 |
| 11-07 11:00 | 317 | 200 | 96 |
| 11-07 10:00 | 207 | 195 | 84 |
| 11-07 09:00 | 315 | 199 | 95 |
| 11-07 08:00 | 213 | 198 | 88 |
| 11-07 07:00 | 323 | 199 | 88 |
| 11-07 06:00 | 209 | 197 | 88 |
| 11-07 05:00 | 205 | 197 | 28 |
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 | 61 ms | 100% | 288 |
| 02 | SambaNova | 31 ms | 454 ms | 100% | 288 |
| 03 | OpenRouter | 53 ms | 115 ms | 100% | 288 |
| 04 | upstage | 59 ms | 78 ms | 100% | 288 |
| 05 | 62 ms | 120 ms | 100% | 288 | |
| 06 | glm | 94 ms | 140 ms | 100% | 288 |
| 07 | meta-llama | 117 ms | 295 ms | 100% | 288 |
| 08 | kimi | 130 ms | 213 ms | 100% | 288 |
| 09 | ernie | 138 ms | 166 ms | 100% | 288 |
| 10 | baichuan | 142 ms | 564 ms | 99.3% | 288 |
| 11 | TypeSafe | 144 ms | 151 ms | 100% | 288 |
| 12 | novita | 150 ms | 216 ms | 100% | 288 |
| 13 | baseten | 160 ms | 183 ms | 100% | 288 |
| 14 | Together AI | 161 ms | 238 ms | 100% | 288 |
| 15 | Groq | 163 ms | 234 ms | 100% | 288 |
| 16 | qwen | 166 ms | 227 ms | 100% | 288 |
| 17 | xAI | 171 ms | 252 ms | 100% | 288 |
| 18 | Cohere | 174 ms | 223 ms | 100% | 288 |
| 19 | replicate | 182 ms | 454 ms | 100% | 288 |
| 20 | DeepSeek | 182 ms | 251 ms | 100% | 288 |
| 21 | Cerebras | 199 ms | 256 ms | 100% | 288 |
| 22 | OpenAI | 213 ms | 294 ms | 100% | 288 |
| 23 | Perplexity | 223 ms | 408 ms | 100% | 288 |
| 24 | minimax | 224 ms | 258 ms | 100% | 288 |
| 25 | Anthropic | 230 ms | 295 ms | 100% | 288 |
| 26 | iflytek | 240 ms | 911 ms | 99.7% | 288 |
| 27 | reka | 241 ms | 526 ms | 100% | 288 |
| 28 | writer | 244 ms | 278 ms | 100% | 288 |
| 29 | sarvam | 251 ms | 258 ms | 100% | 288 |
| 30 | Tencent TokenHub | 256 ms | 297 ms | 100% | 126 |
| 31 | friendli | 280 ms | 609 ms | 100% | 288 |
| 32 | ai21 | 313 ms | 421 ms | 100% | 288 |
| 33 | inference-net | 316 ms | 616 ms | 100% | 288 |
| 34 | Mistral | 319 ms | 386 ms | 100% | 288 |
| 35 | stepfun | 326 ms | 849 ms | 100% | 288 |
| 36 | siliconflow | 374 ms | 403 ms | 100% | 288 |
| 37 | hyperbolic | 403 ms | 528 ms | 100% | 288 |
| 38 | featherless | 426 ms | 762 ms | 100% | 288 |
| 39 | sensenova | 440 ms | 1,161 ms | 98.6% | 288 |
| 40 | deepinfra | 448 ms | 926 ms | 100% | 288 |
| 41 | nebius | 466 ms | 502 ms | 100% | 288 |
| 42 | doubao | 495 ms | 1,444 ms | 99.0% | 288 |
| 43 | nscale | 498 ms | 543 ms | 100% | 288 |
| 44 | aleph-alpha | 544 ms | 573 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 | 16 ms | 93 ms | 100% | 298 |
| 02 | nebius | 33 ms | 98 ms | 100% | 298 |
| 03 | aleph-alpha | 62 ms | 96 ms | 100% | 298 |
| 04 | nscale | 69 ms | 74 ms | 100% | 298 |
| 05 | meta-llama | 88 ms | 123 ms | 100% | 298 |
| 06 | 92 ms | 103 ms | 100% | 298 | |
| 07 | OpenRouter | 98 ms | 105 ms | 100% | 298 |
| 08 | Mistral | 118 ms | 200 ms | 100% | 298 |
| 09 | baseten | 125 ms | 131 ms | 100% | 298 |
| 10 | Cohere | 133 ms | 200 ms | 100% | 298 |
| 11 | TypeSafe | 156 ms | 165 ms | 100% | 298 |
| 12 | replicate | 170 ms | 325 ms | 100% | 298 |
| 13 | glm | 183 ms | 204 ms | 100% | 298 |
| 14 | baichuan | 183 ms | 625 ms | 99.7% | 297 |
| 15 | reka | 185 ms | 211 ms | 100% | 298 |
| 16 | Perplexity | 190 ms | 208 ms | 100% | 298 |
| 17 | Cerebras | 194 ms | 207 ms | 100% | 298 |
| 18 | Anthropic | 197 ms | 206 ms | 100% | 298 |
| 19 | Groq | 213 ms | 224 ms | 100% | 298 |
| 20 | OpenAI | 219 ms | 349 ms | 100% | 298 |
| 21 | writer | 224 ms | 289 ms | 100% | 298 |
| 22 | inference-net | 225 ms | 610 ms | 100% | 298 |
| 23 | novita | 230 ms | 248 ms | 100% | 298 |
| 24 | Together AI | 232 ms | 294 ms | 100% | 298 |
| 25 | siliconflow | 248 ms | 250 ms | 100% | 298 |
| 26 | friendli | 257 ms | 436 ms | 100% | 298 |
| 27 | sarvam | 260 ms | 269 ms | 100% | 298 |
| 28 | iflytek | 283 ms | 754 ms | 100% | 298 |
| 29 | ernie | 287 ms | 317 ms | 100% | 297 |
| 30 | DeepSeek | 290 ms | 306 ms | 100% | 298 |
| 31 | xAI | 304 ms | 323 ms | 100% | 298 |
| 32 | kimi | 310 ms | 393 ms | 100% | 298 |
| 33 | minimax | 313 ms | 344 ms | 100% | 298 |
| 34 | ai21 | 317 ms | 448 ms | 100% | 298 |
| 35 | SambaNova | 320 ms | 330 ms | 100% | 298 |
| 36 | doubao | 351 ms | 845 ms | 99.7% | 298 |
| 37 | qwen | 361 ms | 444 ms | 99.7% | 298 |
| 38 | sensenova | 388 ms | 1,022 ms | 99.7% | 297 |
| 39 | stepfun | 428 ms | 1,143 ms | 100% | 297 |
| 40 | Tencent TokenHub | 466 ms | 641 ms | 100% | 126 |
| 41 | deepinfra | 507 ms | 936 ms | 100% | 298 |
| 42 | hyperbolic | 568 ms | 756 ms | 100% | 298 |
| 43 | upstage | 586 ms | 596 ms | 100% | 297 |
| 44 | featherless | 587 ms | 1,276 ms | 100% | 298 |
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 | 59 ms | 100 ms | 100% | 287 |
| 02 | 139 ms | 188 ms | 100% | 290 | |
| 03 | baseten | 154 ms | 170 ms | 100% | 288 |
| 04 | Cohere | 164 ms | 199 ms | 100% | 287 |
| 05 | TypeSafe | 174 ms | 196 ms | 100% | 288 |
| 06 | Cerebras | 188 ms | 240 ms | 100% | 288 |
| 07 | Anthropic | 193 ms | 248 ms | 100% | 290 |
| 08 | Perplexity | 203 ms | 430 ms | 100% | 288 |
| 09 | reka | 204 ms | 278 ms | 100% | 288 |
| 10 | writer | 211 ms | 275 ms | 100% | 287 |
| 11 | inference-net | 218 ms | 456 ms | 100% | 287 |
| 12 | xAI | 221 ms | 383 ms | 100% | 288 |
| 13 | Groq | 232 ms | 288 ms | 100% | 288 |
| 14 | OpenAI | 233 ms | 414 ms | 100% | 290 |
| 15 | meta-llama | 239 ms | 339 ms | 100% | 288 |
| 16 | novita | 246 ms | 286 ms | 100% | 287 |
| 17 | Fireworks AI | 253 ms | 278 ms | 100% | 288 |
| 18 | Together AI | 261 ms | 638 ms | 100% | 288 |
| 19 | Mistral | 268 ms | 340 ms | 100% | 289 |
| 20 | siliconflow | 284 ms | 288 ms | 100% | 288 |
| 21 | friendli | 300 ms | 568 ms | 100% | 288 |
| 22 | ai21 | 329 ms | 458 ms | 100% | 288 |
| 23 | kimi | 339 ms | 398 ms | 100% | 288 |
| 24 | baichuan | 359 ms | 1,250 ms | 100% | 288 |
| 25 | SambaNova | 370 ms | 388 ms | 100% | 288 |
| 26 | nebius | 376 ms | 389 ms | 100% | 288 |
| 27 | ernie | 411 ms | 450 ms | 100% | 288 |
| 28 | replicate | 424 ms | 597 ms | 100% | 287 |
| 29 | DeepSeek | 435 ms | 506 ms | 100% | 288 |
| 30 | aleph-alpha | 446 ms | 476 ms | 99.7% | 288 |
| 31 | nscale | 451 ms | 454 ms | 100% | 288 |
| 32 | minimax | 480 ms | 506 ms | 100% | 288 |
| 33 | deepinfra | 530 ms | 918 ms | 100% | 288 |
| 34 | glm | 541 ms | 573 ms | 100% | 288 |
| 35 | upstage | 612 ms | 700 ms | 100% | 288 |
| 36 | sarvam | 622 ms | 634 ms | 100% | 288 |
| 37 | sensenova | 638 ms | 1,583 ms | 99.0% | 288 |
| 38 | iflytek | 657 ms | 1,568 ms | 99.7% | 288 |
| 39 | stepfun | 670 ms | 1,668 ms | 100% | 288 |
| 40 | featherless | 679 ms | 1,008 ms | 100% | 288 |
| 41 | doubao | 703 ms | 1,606 ms | 98.6% | 288 |
| 42 | qwen | 704 ms | 753 ms | 100% | 288 |
| 43 | hyperbolic | 784 ms | 903 ms | 100% | 288 |
| 44 | Tencent TokenHub | 794 ms | 828 ms | 100% | 126 |
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 | 29 ms | 80 ms | 100% | 288 |
| 02 | 40 ms | 112 ms | 100% | 287 | |
| 03 | baseten | 47 ms | 58 ms | 100% | 288 |
| 04 | OpenRouter | 57 ms | 122 ms | 100% | 288 |
| 05 | Cohere | 61 ms | 131 ms | 100% | 288 |
| 06 | meta-llama | 68 ms | 172 ms | 100% | 288 |
| 07 | Cerebras | 73 ms | 147 ms | 100% | 288 |
| 08 | TypeSafe | 78 ms | 92 ms | 100% | 288 |
| 09 | siliconflow | 82 ms | 109 ms | 100% | 288 |
| 10 | Perplexity | 84 ms | 136 ms | 100% | 288 |
| 11 | replicate | 93 ms | 150 ms | 100% | 288 |
| 12 | Anthropic | 93 ms | 161 ms | 100% | 287 |
| 13 | novita | 100 ms | 164 ms | 100% | 288 |
| 14 | reka | 100 ms | 185 ms | 100% | 288 |
| 15 | xAI | 110 ms | 182 ms | 100% | 288 |
| 16 | writer | 112 ms | 138 ms | 100% | 288 |
| 17 | Together AI | 124 ms | 189 ms | 100% | 288 |
| 18 | Groq | 128 ms | 200 ms | 100% | 288 |
| 19 | OpenAI | 137 ms | 226 ms | 100% | 287 |
| 20 | deepinfra | 157 ms | 608 ms | 100% | 288 |
| 21 | SambaNova | 167 ms | 218 ms | 100% | 288 |
| 22 | friendli | 178 ms | 362 ms | 99.7% | 288 |
| 23 | nebius | 180 ms | 215 ms | 100% | 288 |
| 24 | inference-net | 187 ms | 456 ms | 100% | 288 |
| 25 | Mistral | 196 ms | 269 ms | 100% | 287 |
| 26 | ai21 | 233 ms | 382 ms | 100% | 288 |
| 27 | nscale | 236 ms | 243 ms | 100% | 288 |
| 28 | baichuan | 240 ms | 865 ms | 100% | 288 |
| 29 | glm | 252 ms | 304 ms | 100% | 288 |
| 30 | aleph-alpha | 256 ms | 313 ms | 100% | 288 |
| 31 | hyperbolic | 261 ms | 345 ms | 100% | 288 |
| 32 | kimi | 266 ms | 332 ms | 100% | 288 |
| 33 | ernie | 272 ms | 283 ms | 100% | 288 |
| 34 | featherless | 282 ms | 643 ms | 100% | 288 |
| 35 | DeepSeek | 314 ms | 386 ms | 100% | 287 |
| 36 | minimax | 343 ms | 365 ms | 100% | 288 |
| 37 | upstage | 354 ms | 405 ms | 100% | 288 |
| 38 | stepfun | 395 ms | 1,370 ms | 100% | 288 |
| 39 | sensenova | 398 ms | 1,423 ms | 98.3% | 288 |
| 40 | qwen | 411 ms | 458 ms | 100% | 288 |
| 41 | iflytek | 420 ms | 1,127 ms | 99.7% | 288 |
| 42 | doubao | 459 ms | 1,152 ms | 98.6% | 288 |
| 43 | sarvam | 500 ms | 523 ms | 100% | 288 |
| 44 | Tencent TokenHub | 573 ms | 737 ms | 100% | 126 |
No matching providers. Try another name.
Is any AI API down right now?
2 confirmed outage(s) in the last 24 hours: doubao, sensenova
44 providers · probed every 5 minutes from 4 regions · last probe Nov 8, 04:40 UTC
Status pages currently reporting an open incident: OpenAI (notice “Elevated error rates with some U.S. business Mastercards”) — self-reported by the provider, checked Nov 8, 04:17 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 November 08, 2026, the fastest-responding AI inference API by edge latency (time-to-first-byte) is fireworks at 16 ms p50, measured from Europe (Germany) (100% uptime, n=298). Rankings differ by region.
Edge latency (TTFB) measures the network and API endpoint; inference TTFT is measured separately. Methodology