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Language Model

Gemini 2.5 Flash

Estimate tokens and API costs in real-time for Gemini 2.5 Flash using the gemini tokenizer. Compare official pricing ($0.30 / $2.50 per M tokens) against Kie.ai aggregate pricing ($0.18 / $1.50) and save 40%.

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Context Window Limit1,000K Tokens
Tokenizer Architecturegemini
Max Output Tokens8.192K Tokens

Official API Rate

USD per Million Tokens

Official Input:$0.300
Official Output:$2.500

Kie.ai Aggregated Rate

PROMOTED

USD per Million Tokens

Kie.ai Input:$0.180
Kie.ai Output:$1.500

Cost Savings

Estimated Discount

Input Saving:40% Off
Output Saving:40% Off
Text Token Calculator
Type or paste your prompt to estimate token counts across different tokenizers in real-time

Token ↔ Word & Cost Converter

Estimate how many words, pages, and cost this token count represents across models

750,000
English Words
500,000
CJK Characters
1,500
A4 Pages
Official API Cost$0.30 / $2.50
Kie.ai Cost$0.18 / $1.50
Input Rate: $0.30 | Output Rate: $2.50Save 40% ($0.56)
Save 30%-50% with Kie.ai Gateway
Total Words0
Total Chars0
Estimated CJK Chars0
English Word Ratio0%
TokenizerToken Count
GPT-5.5 / GPT-4o / o3 o200k_baseDedicated tokenizer for latest OpenAI models
0
DeepSeek V3 / V4 / R1 deepseekDedicated highly efficient tokenizer for DeepSeek models
0
Claude 3.7 / 3.5 / Opus claudeApproximate estimation for Anthropic Claude series
0
Gemini 3.5 / 3.1 / 2.5 geminiSentencePiece tokenizer estimation for Google flagship series
0
GPT-4 / GPT-3.5 cl100k_baseCommon tokenizer for legacy OpenAI models
0

Developer Integration & SDK Code Examples

Kie.ai is fully compatible with standard OpenAI SDKs. To integrate, simply update the Base URL and API Key without modifying your business code.

Kie.ai Integration Code
from openai import OpenAI # 初始化 Kie.ai 聚合 API 客户端 client = OpenAI( base_url="https://api.kie.ai/gemini-2.5-flash/v1", # 对应模型的专属 Base URL api_key="your_kie_api_key_here" # 您的 KIE API Key ) response = client.chat.completions.create( model="gemini-2.5-flash", # 模型 ID messages=[ {"role": "user", "content": "你好！请用一句话解释什么是大模型的分词器。"} ] ) print(response.choices[0].message.content)
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Kie.ai provides stable, high-concurrency, and highly competitive pricing for multimodal AI APIs, eliminating the hassle of binding cards on multiple platforms.
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Unbeatable Prices

LLM (GPT-5.5, Claude, DeepSeek) calling costs are 30% - 50% lower than official APIs. Multimodal (Veo 3.1, Flux Pro) costs are 60%+ lower!

Full Multimodal Support

Single key aggregates text, image, video generation (Runway, Veo, Kling), music generation (Suno), and speech recognition. No multiple accounts needed.

Standard Compatible

Fully compatible with OpenAI / Anthropic request formats. Simply update base_url and api_key in your code to migrate seamlessly.

Developer Integration Guides (Cursor, Claude Code, SDK)

Frequently Asked Questions (FAQ) for Gemini 2.5 Flash

Q: Which tokenizer does Gemini 2.5 Flash use and what is the efficiency?

Gemini 2.5 Flash utilizes the gemini tokenizer. For English text, 1 token is roughly equivalent to 4 characters or 0.75 words. For non-English scripts, tokens are split based on sub-word algorithms, where one character typically costs 1 to 2 tokens. Newer tokenizers are more efficient, saving up to 15% space compared to older models.

Q: What is the context window limit of Gemini 2.5 Flash?

The model supports a maximum context window of 1,000,000 tokens, with a maximum single completion output limit of 8,192 tokens. Keep in mind this limit includes both input prompts and output responses.

Q: How can I optimize and lower my Gemini 2.5 Flash API expenses?

You can reduce expenses by: (1) Trimming down prompts using our Prompt Optimizer tool to eliminate redundant tokens; (2) Structuring requests to trigger Prompt Caching, which cuts input prices by up to 90% for repeated system instructions; and (3) Calling the model via the Kie.ai API gateway, which offers bulk-discounted rates 30% to 50% lower than standard rates.