Model detail
Gemini 2.5 Pro
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 and nuanced context handling. Gemini 2.5 Pro achieves top-tier performance on multiple benchmarks, including first-place positioning on the LMArena leaderboard, reflecting superior human-preference alignment and complex problem-solving abilities.
Model specs
- Model ID
-
gemini-2.5-pro
- Context length
- 1.048576M
- Max output
- 65.536K
- I/O modalities
- Released
- 2025-06
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API endpoints
One MixRoute gateway, OpenAI-compatible
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Gemini
/v1beta/models/{model}:generateContentPOST -
OpenAI-compatible
/v1/chat/completionsPOST
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Pricing
Flat rate, unit: /1M Tokens
Input
$1.2500 /1M Tokens
Completion
$10.0000 /1M Tokens
Cache read
$0.1250 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Pro intelligence for complex reasoning workloads
Gemini 2.5 Pro: Our state-of-the-art thinking model, capable of reasoning over complex problems in code, math, and STEM, as well as analyzing large datasets, codebases, and documents using long context.. 1,048,576-token context with 65,536-token max output.
What should you check before using it?
1,048,576 context, 65,536 output, multimodal
Supports Caching, Code execution, File search, Function calling, Grounding with Google Maps and more. Knowledge cutoff: 2025-01. Released 2025-06.
Why use it through MixRoute?
Drop-in via Google Gen AI SDK or OpenAI-compatible endpoint
Use the Google Gen AI SDK or call through MixRoute's OpenAI-compatible endpoint. Supports batch API, flex inference, and priority inference for production workloads.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Tool calling
Gemini 2.5 Pro supports function and tool calls.
tools definition; the response returns tool_calls to execute and feed results back.
Structured output
Gemini 2.5 Pro can produce JSON-formatted output on demand.
response_format: { type: "json_schema" } forces valid JSON output.
Streaming
Gemini 2.5 Pro supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Prompt caching
Gemini 2.5 Pro supports prompt caching under supported routing conditions.
Vision input
Gemini 2.5 Pro can process image inputs alongside text.
image_url content part alongside text messages.
OpenAI SDK
Call Gemini 2.5 Pro through MixRoute's OpenAI-compatible endpoint.
base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
Share of the same prefix read repeatedly, up to 100%
09
FAQ
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 and nuanced context handling.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.