Fastest AI APIs from Singapore

How long five AI APIs take to start answering from a server in Singapore, measured every day. Useful if your app runs there or serves users in Southeast Asia.

Mistral is the fastest AI API we measure from Singapore: 435 ms to the first word, on its default settings.

Of the APIs that use low reasoning effort, ChatGPT is fastest at 977 ms, ahead of Claude (1,205 ms) and Grok (2,656 ms).

From Singapore, ChatGPT takes 229 ms longer to start answering than from Montreal, its fastest city.

Which AI API answers fastest from Singapore?

Typical time until the first word of the reply arrives, measured from Singapore, 27 September to 10 October 2026.

  1. Mistral

    Mistral AI · Provider default settings · Live status

    435 ms typical

    p95 TTFT: 652 ms

  2. DeepSeek

    DeepSeek · Reasoning turned off · Live status

    527 ms typical

    p95 TTFT: 752 ms

  3. ChatGPT

    OpenAI · Low reasoning effort · Live status

    977 ms typical

    p95 TTFT: 1,963 ms

  4. Claude

    Anthropic · Low reasoning effort · Live status

    1,205 ms typical

    p95 TTFT: 2,072 ms

  5. Grok

    xAI · Low reasoning effort

    2,656 ms typical

    p95 TTFT: 4,910 ms

Mistral runs on its default settings, DeepSeek runs with reasoning turned off, and ChatGPT, Claude and Grok use low reasoning effort. Typical is the middle request of the period; p95 means 95% of requests got their first word within that time.

Technical details
APIModelRequests in the periodFailed
Mistralmistral-medium-latest650 of 65
DeepSeekdeepseek-v4-flash650 of 65
ChatGPTgpt-5.6-sol650 of 65
Claudeclaude-opus-5650 of 65
Grokgrok-4.6650 of 65

Compared to the fastest city

How much longer each API takes to start answering from Singapore than from its own fastest test city.

APIFrom SingaporeExtra wait
Mistral435 ms+221 msvs Amsterdam, 214 ms
DeepSeek527 msFastest city
ChatGPT977 ms+229 msvs Montreal, 748 ms
Claude1,205 ms+162 msvs Montreal, 1,043 ms
Grok2,656 ms+182 msvs San Francisco, 2,474 ms

How steady each API was from Singapore

Each API's daily time from Singapore, 11 September to 10 October 2026: one point per day, the middle of that day's five requests. Each chart has its own scale.

  • MistralVaries a lot

    9 days in 10 no more than 33% above its usual 388 ms

    Daily typical time, 11 Sept to 10 Oct: between 333 ms and 530 ms.

    No failed requests · one day without a run

  • DeepSeekVaries

    9 days in 10 no more than 24% above its usual 541 ms

    Daily typical time, 11 Sept to 10 Oct: between 340 ms and 781 ms.

    No failed requests · one day without a run

  • ChatGPTVaries a lot

    9 days in 10 no more than 55% above its usual 1,090 ms

    Daily typical time, 11 Sept to 10 Oct: between 725 ms and 1,985 ms.

    No failed requests · one day without a run

  • ClaudeVaries

    9 days in 10 no more than 27% above its usual 1,423 ms

    Daily typical time, 11 Sept to 10 Oct: between 974 ms and 2,077 ms.

    No failed requests · one day without a run

  • GrokVaries

    9 days in 10 no more than 26% above its usual 2,717 ms

    Daily typical time, 11 Sept to 10 Oct: between 1,659 ms and 4,150 ms.

    No failed requests · one day without a run

What to do with this

  • Base timeouts on the slower figure: from Singapore, 1 in 20 requests to Grok waited more than 4,910 ms for the first word.
  • For predictable times, DeepSeek was the steadiest from Singapore: on 9 days in 10 it stayed within 24% of its usual time. ChatGPT swung the most: on 1 day in 10 it was 55% or more above its usual time.
  • If your backend doesn't have to run in Singapore: ChatGPT took 748 ms from Montreal, against 977 ms here. Mistral took 214 ms from Amsterdam, against 435 ms here. Your users' trip to that server comes on top, so moving only helps when the API call is the slow part.

Good to know

  • This is one server in a datacenter in Singapore, measured once a day.
  • Every API gets the same one-line prompt, but the reasoning settings differ (named on each row), so compare APIs with the same setting.
  • Time to first token stops at the first visible word. It doesn't measure how fast the rest of the reply arrives or how good it is.

What time to first token means →How we measure →

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