Google: Gemini 2.5 Pro

Public pricingIntelligence 81/100Huge memory視覚深い思考ツール利用

Google: Gemini 2.5 Pro は 音声 モデルで、コーディング、デバッグ、技術作業 に向いています。マルチモーダル入力処理、高いコーディング性能、1M+ tokensのコンテキスト、バランス型コストの特性を組み合わせ、audio understanding and multimodal input で安定した動作を支えます。精度・文脈・制御 が重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

Input

$1.25/1M

Output

$10.00/1M

Cached

$0.13/1M

Batch

$0.63/1M

Calculate your Gemini 2.5 Pro bill.

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What would Gemini 2.5 Pro cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Gemini 2.5 Pro at a glance.

Memory

1,048,576

tokens

Max reply

65,536

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

sentencepiece

Released

Mar 2025

Training cutoff

Jan 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    60

  • aime_2024

    92

  • aime_2025

    86.7

  • chatbot_arena_elo

    1451

  • frontiermath_tier_4

    2.08

  • gpqa_diamond

    84

  • humanitys_last_exam

    18.16

  • mmlu_pro

    86.2

  • scipredict

    17.04

  • swe_bench_verified

    63.8

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Gemini 2.5 Pro

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Gemini 2.5 Pro — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Gemini 2.5 Pro costs roughly $494 per month. Input is $1.25 /1M tokens and output is $10.00 /1M tokens.
Gemini 2.5 Pro has a 1,048,576-token context window (huge memory — multiple books or whole repositories). That means you can fit about 196,608 words of input and history in a single call.
Beyond text generation, Gemini 2.5 Pro supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Gemini 2.5 Pro was released in March 2025, with training data cut off around January 2025.
Models in a similar class include Gemini 2.5 Pro Preview 05-06, Gemini 2.5 Pro Preview 06-05, Gemini 3 Flash Preview. The "Similar models" section below this FAQ links into each.

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