Best cost/speed trade-off
google-ai-studio$4.1667 / 1M tokens
6.78 s estimated response
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google/gemini-2.5-pro-preview-05-06
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
At a glance
Based on 1,000 input and 500 output tokens using the latest published median speed data.
Best cost/speed trade-off
google-ai-studio$4.1667 / 1M tokens
6.78 s estimated response
Cheapest
google-vertex/global/flex$2.0833 / 1M tokens
$0.003125 for the sample request
Fastest
google-ai-studio6.78 s estimated response
$4.1667 / 1M tokens
Visual comparison
Compare published endpoint pricing and estimated response time visually.
USD per 1 million tokens for input and output. Lower is better.
Google Vertex has the lowest estimated cost for 1,000 input and 500 output tokens at $0.003125.
Based on 1,000 input and 500 output tokens. Cost is shown in USD per 1 million tokens. Lower and further left is better; the single best cost/speed trade-off appears at full opacity.
4 providers have complete pricing and speed data. Google AI Studio is closest to the ideal combination of lowest cost and fastest response.
Server-rendered comparison
Prompt and completion prices are effective USD per token as published by OpenRouter. Missing speed data never removes an endpoint.
| Provider / route | Current pricing ↗ | Speed measurements | Endpoint details |
|---|---|---|---|
| Provider / route Google Vertex google-vertex/global | Current pricing
| Speed measurements
| Endpoint details
11 parametersinclude_reasoning, max_tokens, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p |
| Provider / route | Current pricing
| Speed measurements
| Endpoint details
11 parametersinclude_reasoning, max_tokens, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p |
| Provider / route Google Vertex google-vertex/global/priority | Current pricing
| Speed measurements
| Endpoint details
11 parametersinclude_reasoning, max_tokens, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p |
| Provider / route Google Vertex google-vertex/eu | Current pricing
| Speed measurements
| Endpoint details
11 parametersinclude_reasoning, max_tokens, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p |
| Provider / route Google Vertex google-vertex/us | Current pricing
| Speed measurements
| Endpoint details
11 parametersinclude_reasoning, max_tokens, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p |
| Provider / route | Current pricing
| Speed measurements
| Endpoint details
10 parametersinclude_reasoning, max_tokens, reasoning, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_p |
| Provider / route Google AI Studio google-ai-studio/flex | Current pricing
| Speed measurements
| Endpoint details
10 parametersinclude_reasoning, max_tokens, reasoning, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_p |
| Provider / route Google AI Studio google-ai-studio/priority | Current pricing
| Speed measurements
| Endpoint details
10 parametersinclude_reasoning, max_tokens, reasoning, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_p |
Endpoint data fetched .
Gemini 2.5 Pro Preview 05-06 deployment guide
Gemini 2.5 Pro Preview 05-06 is indexed here as a text model by Google, with 8 provider endpoints from Google Vertex, Google AI Studio. The comparison preserves each exact OpenRouter routing tag so pricing and performance observations can be connected to the route an application would actually request.
The model publishes a 1M-token context window. It accepts text, image, file, audio, video input and returns text output. 11 distinct supported parameters appear across the listed routes. Confirm limits on the specific endpoint rather than assuming every host exposes the same configuration.
Google Vertex currently has the lowest estimated cost for the standard 1,000-input/500-output-token sample at $0.003125. Input-heavy and output-heavy applications can produce a different result, so review both per-million-token prices in the endpoint table.
Google AI Studio currently has the shortest estimated 500-token response at 6.78 seconds. Google AI Studio is the single endpoint closest to the current ideal cost/speed combination. Recent observations can change, so validate finalists with your own prompts.