Atlas / Models / Google / Google: Gemini 2.5 Pro Preview 05-06

Google: Gemini 2.5 Pro Preview 05-06✓ Catalog verified

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 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.

Input price
$1.25 /1M
Output price
$10.00 /1M
Context
1.0M
Modalities
textimagefileaudio
Released
May 7, 2025
Tool calling
✓ Yes
Atlas signal
93/100
01

Overview

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.

Access: available through the official Google API. Context window: 1.0M.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifiergoogle/gemini-2.5-pro-preview-05-06
ProviderGoogle
Model typeMultimodal LLM
Context window1.0M catalog
Input modalitiestext · image · file · audio · video
Output modalitiestext
ReleasedMay 7, 2025
TokenizerGemini
ModeratedNo
Architecture modalitytext+image+file+audio+video->text
Supported parameters
include_reasoningmax_tokensreasoningresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_p": null,
  "temperature": null,
  "frequency_penalty": null
}
03

Pricing

Live pricing components for google/gemini-2.5-pro-preview-05-06 as published in the catalog.

$1.25
Input /1M
$10.00
Output /1M
Per request
$0.000001
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$0.00000125$1.25 / 1MPer input token
Completion tokens$0.00001$10.00 / 1MPer output token
Request feeN/AN/APer request
Image fee$0.00000125$0.000001Per image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$2.63Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual Understanding✓ SupportedImage and document analysis support
Audio Processing✓ SupportedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Google: Gemini 2.5 Pro Preview 05-06
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
92signal
Math Signal (GSM8K proxy)
96signal
Science Signal (GPQA proxy)
87signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Google: Gemini 2.5 Pro Preview 05-06 through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="google/gemini-2.5-pro-preview-05-06",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Google: Gemini 2.5 Pro Preview 05-06 cost?

$1.25 per 1M input tokens and $10.00 per 1M output tokens on the official Google API.

What is the context window of Google: Gemini 2.5 Pro Preview 05-06?

Google: Gemini 2.5 Pro Preview 05-06 supports up to 1.0M tokens of context.

Does Google: Gemini 2.5 Pro Preview 05-06 support tool / function calling?

Yes, Google: Gemini 2.5 Pro Preview 05-06 supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Google: Gemini 2.5 Pro Preview 05-06?

Use the official Google API with the model id `google/gemini-2.5-pro-preview-05-06`. See the Quick start section above for code examples.