Google 模型
Gemini 2.5 Pro
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...
Tool callingVisionJSON modeLong contextReasoningStreaming
适用场景
- long-context analysis
- vision workflows
- scientific reasoning
- multimodal agents
OpenAI 兼容代码示例
保持 OpenAI SDK 调用方式不变，把 base_url 改为 NextModel，并使用模型目录 ID gemini-2-5-pro。
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.nextmodel.app/v1"
)
resp = client.chat.completions.create(
model="gemini-2-5-pro",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)相似替代项
AnthropicCatalog
Claude Sonnet 4.5 is a high-quality option for code, agent workflows, long-context analysis, and complex instruction following.
Best forcoding agents, code review, complex writing
Routingconfigured
Tool callingJSON modeLong contextReasoning
OpenRouter if availableOpenRouter public Models API when available; curated fallback otherwise
AnthropicCatalog
Claude Opus 4.7 is a premium reasoning and long-context candidate for teams that prioritize quality over lowest possible token cost.
Best forfrontier reasoning, large codebase review, strategy analysis
Routingconfigured
Tool callingJSON modeLong contextReasoning
OpenRouter if availableOpenRouter public Models API when available; curated fallback otherwise
GoogleCatalog
Gemini 2.5 Flash is a lower-cost long-context and vision candidate for teams that need multimodal coverage without always using a premium model.
Best forlong-document summarization, image Q&A, fast multimodal routing
Routingconfigured
Tool callingVisionJSON modeLong context
OpenRouter if availableOpenRouter public Models API when available; curated fallback otherwise
FAQ
Google: Gemini 2.5 Pro API 常见问题
Why compare Gemini 2.5 Pro in NextModel?
It is useful when a project needs long context, multimodal input, and reasoning in the same model candidate.