Google: Gemini 2.5 Flash

Public pricingIntelligence 80/100Huge memory่ฆ–่ฆšๆทฑใ„ๆ€่€ƒใƒ„ใƒผใƒซๅˆฉ็”จ

Google: Gemini 2.5 Flash ใฏ ้Ÿณๅฃฐ ใƒขใƒ‡ใƒซใงใ€ใ‚ณใƒผใƒ‡ใ‚ฃใƒณใ‚ฐใ€ใƒ‡ใƒใƒƒใ‚ฐใ€ๆŠ€่ก“ไฝœๆฅญ ใซๅ‘ใ„ใฆใ„ใพใ™ใ€‚ใƒžใƒซใƒใƒขใƒผใƒ€ใƒซๅ…ฅๅŠ›ๅ‡ฆ็†ใ€้ซ˜ใ„ใ‚ณใƒผใƒ‡ใ‚ฃใƒณใ‚ฐๆ€ง่ƒฝใ€1M+ tokensใฎใ‚ณใƒณใƒ†ใ‚ญใ‚นใƒˆใ€ใƒใƒฉใƒณใ‚นๅž‹ใ‚ณใ‚นใƒˆใฎ็‰นๆ€งใ‚’็ต„ใฟๅˆใ‚ใ›ใ€audio understanding and multimodal input ใงๅฎ‰ๅฎšใ—ใŸๅ‹•ไฝœใ‚’ๆ”ฏใˆใพใ™ใ€‚้…ๅปถใƒปใ‚ณใ‚นใƒˆใƒปใ‚นใƒซใƒผใƒ—ใƒƒใƒˆ ใŒ้‡่ฆใชๅ ด้ขใซๅˆใฃใฆใŠใ‚Šใ€ๅฎ‰ๅฎšใ—ใŸๅ‡บๅŠ›ใ€ๆŸ”่ปŸใชๅฐŽๅ…ฅใ€ๆ‹กๅผตๆ€งใ‚’ๆฑ‚ใ‚ใ‚‹ใƒใƒผใƒ ใซๅฎŸ็”จ็š„ใงใ™ใ€‚ ๅฎ‰ๅฎšใ—ใŸๅฟœ็ญ”ใ€้•ทใ„ๆ–‡่„ˆๅ‡ฆ็†ใ€ใใ—ใฆ่ฉฆไฝœใ‹ใ‚‰ๆœฌ็•ชใพใงๅบƒใไฝฟใˆใ‚‹ๆŸ”่ปŸใ•ใŒๅฟ…่ฆใชๅ ด้ขใงๅฝน็ซ‹ใกใพใ™ใ€‚ ๅฎ‰ๅฎšใ—ใŸๅฟœ็ญ”ใ€้•ทใ„ๆ–‡่„ˆๅ‡ฆ็†ใ€ใใ—ใฆ่ฉฆไฝœใ‹ใ‚‰ๆœฌ็•ชใพใงๅบƒใไฝฟใˆใ‚‹ๆŸ”่ปŸใ•ใŒๅฟ…่ฆใชๅ ด้ขใงๅฝน็ซ‹ใกใพใ™ใ€‚ ๅฎ‰ๅฎšใ—ใŸๅฟœ็ญ”ใ€้•ทใ„ๆ–‡่„ˆๅ‡ฆ็†ใ€ใใ—ใฆ่ฉฆไฝœใ‹ใ‚‰ๆœฌ็•ชใพใงๅบƒใไฝฟใˆใ‚‹ๆŸ”่ปŸใ•ใŒๅฟ…่ฆใชๅ ด้ขใงๅฝน็ซ‹ใกใพใ™ใ€‚

Input

$0.30/1M

Output

$2.50/1M

Cached

$0.03/1M

Batch

$0.15/1M

Calculate your Gemini 2.5 Flash bill.

Set your workload โ€” see cost at your exact volume.

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.

FAQ

Gemini 2.5 Flash โ€” the questions we see most.

Pricing, capabilities, alternatives โ€” 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 โ€” 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?

Compare Gemini 2.5 Flash against 100+ other models.

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