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Ranks providers by estimated time to return 500 tokens, combining the wait for the first token with output speed.
Google AI Studio currently ranks first at 7.65 s via google-ai-studio.
| Rank | Provider / route | Estimated response time | Speed measurements | Endpoint details |
|---|---|---|---|---|
| #1 | Provider / route Google AI Studio google-ai-studio | Estimated response time7.65 s | Speed measurements
| Endpoint details
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| #2 | Provider / route Google Vertex google-vertex/global | Estimated response time8.51 s | Speed measurements
| Endpoint details
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| — | Provider / route Google Vertex google-vertex/global/flex | Estimated response timeInsufficient recent data | Speed measurements
| Endpoint details
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| — | Provider / route Google Vertex google-vertex/global/priority | Estimated response timeInsufficient recent data | Speed measurements
| Endpoint details
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| — | Provider / route Google AI Studio google-ai-studio/flex | Estimated response timeInsufficient recent data | Speed measurements
| Endpoint details
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| — | Provider / route Google AI Studio google-ai-studio/priority | Estimated response timeInsufficient recent data | Speed measurements
| Endpoint details
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Endpoint data fetched .
Gemini 3.1 Pro Preview endpoint guide
2 of 6 Gemini 3.1 Pro Preview endpoints currently have the published data required for this ranking. Google AI Studio leads at 7.65 s via google-ai-studio. The table keeps unranked routes visible so missing measurements do not look like missing provider availability.
The fastest ranking estimates a 500-token answer by adding the recent median first-token wait to 500 divided by median output throughput. It represents an example complete response, not a guarantee for every prompt or request size.
Google Vertex currently ranks second at 8.51 s. Compare that gap with input and output price, response-start time, output speed, 30-minute uptime, context length, and the exact route before deciding whether first place is meaningful for your workload.
Gemini 3.1 Pro Preview has 6 published provider options, and performance data is matched to each exact OpenRouter routing tag. Different quantization, context, regional deployment, or provider configuration can change price and behavior even when the underlying model name is identical.
