Region benchmark
LLM API Latency from Japan
Japan developers access OpenAI, Anthropic, Google, and other LLM APIs with 710-980ms median latency in the current snapshot. Best provider for Japan right now: OpenRouter.
Current latency
Current latency table
| Provider | Model | Region | P50 | P95 | P99 | TTFT | Tokens/sec | Collected |
|---|---|---|---|---|---|---|---|---|
| OpenRouter | router-best | Japan | 710ms | 1685ms | 2520ms | 804ms | 55 |
Provider-by-provider breakdown
Best provider for Japan by use case
| Use case | Best provider/model | Reason |
|---|---|---|
| Real-time chat | OpenRouter router-best | Best Japan row in the current snapshot. |
| Customer support automation | Provider with Tokyo routing | Location certainty matters more than brand name. |
| Batch translation | High-throughput flash-class models | Total tokens per second matters more than first token latency. |
How Japan developers can reduce latency
Japan benefits from local cloud regions, but some LLM providers still route API calls through other hubs. Tail latency needs special attention.
- Record provider endpoint, cloud region, and measured client region in every benchmark row.
- For Japanese-language workloads, measure response quality and latency together because the fastest model may not be acceptable.
- Use P95 as the product SLO because median latency hides intermittent routing penalties.
Compare this page with the global leaderboard and the benchmark method in How to Measure LLM Latency Correctly.