Google

gemini-2.5-pro-preview

Model IDgemini-2.5-pro-preview

Integration docsMarkdown

Model introduction

Gemini 2.5 Pro is Google's mature long-context multimodal reasoning model for complex code, research, and media understanding that benefits from a stable version.

Model capabilities

Specifications come from the cited model material. Catalog tags help identify access features; use the source documentation for exact limits.

OpenAI compatibleVisionPrompt cacheReasoningAudio

Verified specifications

Official positioning
Mature long-context multimodal reasoning model
Context window
1,048,576 tokens
Maximum output
65,536 tokens
Input / output
Text, image, audio, video, PDF / Text

Sources: B.AI Gemini 2.5 Pro model guide

Model pricing and access

Prices are read directly from the MoleAPI console catalog and shown by current billing group and context tier.

Your final charge follows the account group shown in the console.
Live pricing source

Pricing table

USD / 1M tokens
Standardx1defaultInput $1.25 · Output $10

Input

$1.25 / 1M tokens

Output

$10 / 1M tokens

Cache read

$0.125 / 1M tokens

Access protocols

Available billing groups: Standard

openai
POST
/v1/chat/completions

About gemini-2.5-pro-preview

This introduction is transcreated for clarity and cross-checked against the cited model material.

Gemini 2.5 Pro is Google's mature long-context multimodal reasoning model for complex code, research, and media understanding that benefits from a stable version.

Core strengths

  • A 1M context window and 64K output cover large evidence sets.
  • Natively supports text, image, audio, video, and PDFs.
  • Function calling, structured output, and the Google tool ecosystem are mature.

Limitations

  • Newer Gemini 3.x models generally improve capability or efficiency.
  • Long media and high thinking budgets increase latency and token use.

Selection and production evaluation

Start a gemini-2.5-pro-preview evaluation by mapping its official positioning to real work: Large repositories, scientific and business analysis, video and audio understanding, and production projects that value mature ecosystem compatibility. The first pass should exercise both its main strength, "A 1M context window and 64K output cover large evidence sets.", and its known limitation, "Newer Gemini 3.x models generally improve capability or efficiency.", instead of relying on a single subjective general-chat comparison.

For access, MoleAPI currently lists openai protocols and the Standard billing groups for this Google model; the default price summary is Input $1.25 / 1M tokens · Output $10 / 1M tokens. Pricing, protocols, and groups come from the live catalog, so production planning should still price representative requests using real context length, output size, and cache-hit assumptions.

No independent ranking is shown unless it matches this exact model ID and reasoning profile, so nearby variants are not used as a proxy. Before launch, pin the model ID, prompt, and sample set, then compare task accuracy, structured-output validity, tool-call success, and timeout rates under the same conditions.

The model material on this page was last checked on 2026-07-24. When upstream model cards, context limits, or tool support change, update the cited bilingual facts before changing the recommendation; live MoleAPI price changes remain separate and update from the catalog automatically.

Code examples

These examples use MoleAPI's OpenAI-compatible endpoint and run after you replace the API key.

curl https://api.moleapi.com/v1/chat/completions \
  -H "Authorization: Bearer $MOLEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-pro-preview",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Frequently asked questions

How is gemini-2.5-pro-preview priced?

This page reads prices from the MoleAPI console API and updates with model prices, context tiers, and account groups.

How can I access gemini-2.5-pro-preview?

Protocols and endpoints come from the supported_endpoint_types field in the MoleAPI model catalog.

How do I switch an existing project to gemini-2.5-pro-preview?

Keep the MoleAPI API address and key, replace the model parameter with the model ID on this page, then check protocol-specific parameter differences.

Where do the gemini-2.5-pro-preview model details come from?

Capabilities and limitations are checked against B.AI and the other cited pages. Pricing and available protocols come only from the MoleAPI console.