GeminiChat
Google: Gemini 2.5 Pro
google/gemini-2.5-pro
1049KContext Window
66KMax Output
Supported Protocols:reasoninginclude_reasoningstructured_outputsresponse_formatmax_tokenstemperaturetop_pseedtoolstool_choicestop
Normal
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy and nuanced context handling. Gemini 2.5 Pro achieves top-tier performance on multiple benchmarks, including first-place positioning on the LMArena leaderboard, reflecting superior human-preference alignment and complex problem-solving abilities.
Capabilities
👁 Vision🧠 Reasoning🔧 Function CallingText GenerationCode GenerationAnalysis & ReasoningReasoning
Technical Specs
Input Modality
Text、Image、Text、Audio、Video
Output Modality
Text
Arch
—
Default Temperature
0.7
Default Top_P
1
Pricing
Pay per use, no monthly fees| Billing Type | Unit | Price |
|---|---|---|
| Text Input | — | $1.2500/M tokens |
| Text Output | — | $10.0000/M tokens |
| Cache Read | — | $0.1250/M tokens |
| Cache Write 1h | — | $0.3750/M tokens |
| Cache Write | — | $0.3750/M tokens |
| Reasoning | — | $1.2500/M tokens |
| Audio Cache Read | — | $0.1250/M tokens |
| Image Input | — | < $0.001/张 |
| Audio Input | — | $1.2500/分钟 |
| Web Search | — | $0.0140/次 |
Quick Start
from openai import OpenAI
client = OpenAI(
base_url="https://api.uniontoken.ai/v1",
api_key="YOUR_UNIONTOKEN_API_KEY",
)
response = client.chat.completions.create(
model="google/gemini-2.5-pro",
messages=[
{"role": "user", "content": "Hello!"}
],
)
print(response.choices[0].message.content)FAQ
Gemini
Google: Gemini 2.5 Pro
google/gemini-2.5-pro
In< ¥0.001/1K
Out< ¥0.001/1K
Context Window1049K
Max Output66K
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