Google: Gemini 2.0 Flash

Public pricingIntelligence 71/100Huge memory視覚深い思考ツール利用

Google: Gemini 2.0 Flash は音声モデルで、視覚言語理解に向いています。マルチモーダル入力処理、画像理解、1M+ tokensのコンテキスト、低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。遅延・コスト・スループット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

$0.10/1M

Output

$0.40/1M

Cached

$0.03/1M

Batch

$0.07/1M

Calculate your Gemini 2.0 Flash bill.

Set your workload — see cost at your exact volume.

What would Gemini 2.0 Flash cost you?

Adjust the workload to see your monthly bill.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

Technical specifications

Gemini 2.0 Flash at a glance.

Memory

1,000,000

tokens

Max reply

8,192

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

sentencepiece

Released

Feb 2025

Training cutoff

Jun 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

aa_intelligence_index
19
chatbot_arena_elo
1356
gpqa_diamond
62
humanitys_last_exam
6.56
mmlu_pro
77
swe_bench_verified
51

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 2.0 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 2.0 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 2.0 Flash costs roughly $24 per month. Input is $0.10 /1M tokens and output is $0.40 /1M tokens.

Gemini 2.0 Flash has a 1,000,000-token context window (huge memory — multiple books or whole repositories). That means you can fit about 187,500 words of input and history in a single call.

Beyond text generation, Gemini 2.0 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 2.0 Flash was released in February 2025, with training data cut off around June 2024.

Models in a similar class include Gemini 2.5 Flash Lite, Gemini 2.5 Flash Lite Preview 09-2025, Gemini 2.0 Flash Lite. The "Similar models" section below this FAQ links into each.

Still unsure?

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