Google: Gemini 2.5 Pro

Public pricingIntelligence 81/100Huge memory비전심층 추론도구 활용

Google: Gemini 2.5 Pro은 코딩, 디버깅, 기술 작업에 맞춘 오디오 모델입니다. 멀티모달 입력 처리、강력한 코딩 성능, 1M+ tokens의 컨텍스트, 균형형 비용 특성을 결합해 audio understanding and multimodal input에서 안정적인 작업을 돕습니다. 특히 정확도, 문맥, 제어가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

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.

  • mmlu_pro

    86.2

  • gpqa_diamond

    84

  • swe_bench_verified

    63.8

  • aime_2024

    92

  • aime_2025

    86.7

  • aa_intelligence_index

    60

  • chatbot_arena_elo

    1451

  • frontiermath_tier_4

    2.08

  • scipredict

    17.04

  • humanitys_last_exam

    18.16

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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