Google: Gemini 2.5 Flash

Public pricingIntelligence 80/100Huge memoryVisionRéflexion approfondieOutils

Google: Gemini 2.5 Flash est un modèle audio conçu pour codage, débogage et travail technique. Il associe la gestion multimodale des entrées et de bonnes performances en codage, un contexte de 1M+ tokens et un profil à coût équilibré pour un travail fiable sur audio understanding and multimodal input.

Input

$0.30/1M

Output

$2.50/1M

Cached

$0.03/1M

Batch

$0.15/1M

Calculate your Gemini 2.5 Flash bill.

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What would Gemini 2.5 Flash cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Gemini 2.5 Flash at a glance.

Memory

1,048,576

tokens

Max reply

65,535

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

sentencepiece

Released

May 2025

Training cutoff

Jan 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    21

  • aime_2024

    88

  • gpqa_diamond

    82.8

  • humanitys_last_exam

    12.08

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 Flash

  • 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 Flash — 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 Flash costs roughly $123 per month. Input is $0.30 /1M tokens and output is $2.50 /1M tokens.
Gemini 2.5 Flash 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 Flash 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 Flash was released in May 2025, with training data cut off around January 2025.
Models in a similar class include Gemini 3.1 Flash Lite Preview, Gemini 2.0 Flash, Gemini 2.5 Flash Lite. The "Similar models" section below this FAQ links into each.

Still unsure?

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