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Ranks providers by estimated cost using a 1,000-input/500-output token ratio, shown per 1 million total tokens.
Google Vertex currently ranks first at $2.666667 / 1M tokens via google-vertex/global/flex.
| Rank | Provider / route | Estimated cost / 1M tokens | Speed measurements | Endpoint details |
|---|---|---|---|---|
| #1 | Provider / route Google Vertex google-vertex/global/flex | Estimated cost / 1M tokens$2.666667 / 1M tokens | Speed measurements
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| #2 | Provider / route Google AI Studio google-ai-studio/flex | Estimated cost / 1M tokens$2.666667 / 1M tokens | Speed measurements
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| #3 | Provider / route Google Vertex google-vertex/global | Estimated cost / 1M tokens$5.333333 / 1M tokens | Speed measurements
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| #4 | Provider / route Google AI Studio google-ai-studio | Estimated cost / 1M tokens$5.333333 / 1M tokens | Speed measurements
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| #5 | Provider / route Google Vertex google-vertex/global/priority | Estimated cost / 1M tokens$9.6 / 1M tokens | Speed measurements
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| #6 | Provider / route Google AI Studio google-ai-studio/priority | Estimated cost / 1M tokens$9.6 / 1M tokens | Speed measurements
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Endpoint data fetched .
Gemini 3.1 Pro Preview endpoint guide
6 of 6 Gemini 3.1 Pro Preview endpoints currently have the published data required for this ranking. Google Vertex leads at $2.666667 / 1M tokens via google-vertex/global/flex. The table keeps unranked routes visible so missing measurements do not look like missing provider availability.
The cheapest ranking uses a 1,000-input/500-output-token ratio and reports the blended result per 1 million total tokens. Because providers can price input and output differently, a workload with a different token ratio may produce a different order.
Google AI Studio currently ranks second at $2.666667 / 1M tokens. 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.
