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Gemini 2.5 Pro Preview 06-05

gemini-2.5-pro-preview

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... Built by Google.

Prices updated

Input price

$1.25

per 1M tokens · Standard

Output price

$10

per 1M tokens · Standard

Input limit

1M

tokens

Output limit

66K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF
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Gemini 2.5 Pro Preview 06-05 price history

2 price records since 9/25/2026

Gemini 2.5 Pro Preview 06-05 cost calculator

Input20M tokens
Output5M tokens

$75/month

Standard pricing

    Overview

    What is Gemini 2.5 Pro Preview 06-05?

    Gemini 2.5 Pro Preview 06-05 is a text & reasoning and vision model from Google. 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... Its 1M context window and $1.25 input price make it a candidate for quality-focused production applications.

    Image understandingDocument analysisContent workflowsClassification

    Benchmarks

    Gemini 2.5 Pro Preview 06-05 benchmarks & speed

    How Gemini 2.5 Pro Preview 06-05 scores on standardized evaluations, and where it lands among every model we track.

    16.1

    Intelligence Index

    Better than 43% of 153 models

    128tok/s

    Output speed

    Better than 68% of 119 models

    1156

    DesignArena Elo

    Better than 30% of 81 models

    Reasoning

    GPQA Diamond

    84.4%

    Graduate-level scientific reasoning · top 44%

    HLE

    22.5%

    Humanity's Last Exam · top 49%

    Coding

    SciCode

    46.3%

    Python for scientific computing · top 65%

    Latency & design

    Time to first token
    18.08s
    DesignArena win rate
    57.5%
    Design battles judged
    7,220

    Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.

    Rates

    Gemini 2.5 Pro Preview 06-05 pricing

    Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

    Input · Standard

    $1.25

    Per 1M tokens

    Cached input · Standard

    $0.13

    Per 1M tokens

    Capabilities

    Gemini 2.5 Pro Preview 06-05 Tools

    Tools available when using Gemini 2.5 Pro Preview 06-05 through supported provider APIs.

    Function calling

    Supported

    Structured outputs

    Supported

    JSON mode

    Supported

    Reasoning

    Supported

    Built-in web search

    Not supported

    Log probabilities

    Not supported

    Deterministic seed

    Supported

    Parallel tool calls

    Not supported

    Prompt caching

    Supported

    Strengths and limitations

    Strengths

    • Measured results (AA Intelligence 16.1 · DesignArena Elo 1156) position it for demanding production work.
    • 1M context supports large documents, repositories and extended conversations.
    • Supports text & reasoning and vision workloads in one model.

    Limitations

    • Generated tokens cost 8× more than input tokens, which matters for verbose responses.
    • Large context capacity does not guarantee consistent retrieval across the entire prompt.
    • Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

    Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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    Frequently asked questions about Gemini 2.5 Pro Preview 06-05

    Gemini 2.5 Pro Preview 06-05 is a text & reasoning and vision model from Google. 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...