AI 模型情報

Gemini 2.5 Pro Preview 05-06

google/gemini-2-5-pro-preview-05-06

出品方: Google · 系列: gemini-pro · 發布 2025-05-06 · 知識截止: 2025-01

$1.25
輸入 / 1M token
$10.00
輸出 / 1M token
1.05M
上下文長度
66K
最大輸出

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

能力清單

工具呼叫推理結構化輸出附件開放權重溫度可調
支援模態: 輸入 text, image, audio, video, pdf · 輸出 text

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.

Coding95
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability5/10
Agents95
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability5/10
JSON / structured output80
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency41
  • Headline price (log-scaled)36/95
  • Has prompt-cache pricing5/5
Long context91
  • Context window (100K → 2M)81/90
  • Has published price for full window10/10
Vision95
  • Accepts image input50/50
  • Context window (10K → 1M)30/30
  • Has published price10/10
  • Provider availability5/10
Production-readiness81
  • Number of independent providers25/40
  • 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
$11.25
$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
$22.50
< $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
$7.50
< $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
$20.00
$0.02 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$21.00
$0.02 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

定價詳情

推薦定價來自 google · gemini-2.5-pro-preview-05-06

$1.25
輸入
$10.00
輸出
$0.310
快取讀取

於 5 家供應商可用

服務商服務商模型 ID輸入 / 1M輸出 / 1M上下文發布日期
Google
google
gemini-2.5-pro-preview-05-06$1.25$10.001.05M2025-05-06
Vertex
google-vertex
gemini-2.5-pro-preview-05-06$1.25$10.001.05M2025-05-06
OpenRouter
openrouter
google/gemini-2.5-pro-preview-05-06$1.25$10.001.05M2025-05-06
NanoGPT
nano-gpt
gemini-2.5-pro-preview-05-06$2.50$10.001.05M2025-05-06
Kilo Gateway
kilo
google/gemini-2.5-pro-preview-05-06$1.25$10.001.05M2025-05-06

各渠道資料存在不一致

  • context_window varies: 1048576, 1048756
  • modalities varies across offerings

各服務商對此模型的回報值不一致。上方「核心數據」採用代表性服務商的值;逐項請以下表為準。

Frequently asked questions

How much does Gemini 2.5 Pro Preview 05-06 cost?

Gemini 2.5 Pro Preview 05-06 costs $1.25 per 1M input tokens and $10.00 per 1M output tokens, sourced from google. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Gemini 2.5 Pro Preview 05-06?

Gemini 2.5 Pro Preview 05-06 has a context window of 1.05M tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does Gemini 2.5 Pro Preview 05-06 support tool calling?

Yes. Gemini 2.5 Pro Preview 05-06 supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Gemini 2.5 Pro Preview 05-06 support structured output / JSON mode?

Yes. Gemini 2.5 Pro Preview 05-06 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 Gemini 2.5 Pro Preview 05-06 accept image input?

Yes. Gemini 2.5 Pro Preview 05-06 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 Gemini 2.5 Pro Preview 05-06 open-weight?

No. Gemini 2.5 Pro Preview 05-06 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 Gemini 2.5 Pro Preview 05-06?

If Gemini 2.5 Pro Preview 05-06 doesn't fit, consider Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 3 Flash Preview. 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 come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

最近更新:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.