AIモデルインテリジェンス

Nano Banana Pro Preview

google/gemini-3-pro-image-preview

提供: Google · ファミリー: gemini-pro · リリース 2025-11-20 · 知識カットオフ: 2025-01

$1.00
入力 / 100万トークン
$6.00
出力 / 100万トークン
66K
コンテキスト長
33K
最大出力

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

機能一覧

✗ ツール呼び出し✓ 推論✓ 構造化出力✓ 添付✗ オープンウェイト✓ 温度制御
モダリティ: 入力 text, image · 出力 text, image

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding36
  • Tool calling0/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)0/20
  • Provider availability6/10
Agents61
  • Tool calling0/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability6/10
JSON / structured output66
  • Structured output / JSON mode50/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume6/20
Cost efficiency46
  • Headline price (log-scaled)41/95
  • Has prompt-cache pricing5/5
Long context0
  • Context ≥ 100K0/100
Vision78
  • Accepts image input50/50
  • Context window (10K → 1M)12/30
  • Has published price10/10
  • Provider availability6/10
Production-readiness86
  • Number of independent providers30/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers6/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$8.00
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$16.00
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$5.00
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$14.00
$0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$15.60
$0.02 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

料金詳細

推奨料金 (提供元): kilo · google/gemini-3-pro-image-preview

$1.00
入力
$6.00
出力
$0.100
キャッシュ読み取り
$0.188
キャッシュ書き込み
$6.00
推論トークン

6 か所で利用可能

プロバイダープロバイダーモデルID入力 / 1M出力 / 1Mコンテキストリリース日
OpenRouter
openrouter
google/gemini-3-pro-image-preview$2.00$12.0066K2025-11-20
Kilo Gateway
kilo
google/gemini-3-pro-image-preview$1.00$6.0066K2025-11-20
NanoGPT
nano-gpt
gemini-3-pro-image-preview$2.00$12.0066K2025-11-20
302.AI
302ai
gemini-3-pro-image-preview$2.00$120.0033K2025-11-20
Eden AI
edenai
google/gemini-3-pro-image-preview$2.00$12.0066K2025-11-20
FastRouter
fastrouter
google/gemini-3-pro-image-preview$2.00$12.0066K2025-11-20

プロバイダー間でデータに差異

  • context_window varies: 32768, 65536
  • modalities varies across offerings

プロバイダーごとに本モデルの値が異なります。上部の「主要数値」は代表的プロバイダーを使用しています。詳細は表をご確認ください。

Frequently asked questions

How much does Nano Banana Pro Preview cost?

Nano Banana Pro Preview costs $1.00 per 1M input tokens and $6.00 per 1M output tokens, sourced from kilo. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Nano Banana Pro Preview?

Nano Banana Pro Preview has a context window of 66K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.

Does Nano Banana Pro Preview support tool calling?

No. Nano Banana Pro Preview does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Nano Banana Pro Preview support structured output / JSON mode?

Yes. Nano Banana Pro Preview supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Nano Banana Pro Preview accept image input?

Yes. Nano Banana Pro Preview accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Google's docs for the exact rule.

Is Nano Banana Pro Preview open-weight?

No. Nano Banana Pro Preview is a proprietary model — only Google (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Nano Banana Pro Preview?

If Nano Banana Pro Preview doesn't fit, consider Gemma 4 31B IT, Gemini 3.5 Flash, Gemini 3.8 Flash. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More Google models

最終更新:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.