Google model
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
Best use cases
- long-context analysis
- vision workflows
- scientific reasoning
- multimodal agents
OpenAI-compatible code example
Keep the OpenAI SDK style, set base_url to NextModel, and use the catalog model 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)Similar alternatives
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Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
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Routingconfigured
Tool callingJSON modeLong contextReasoning
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
AnthropicCatalog
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Tool callingJSON modeLong contextReasoning
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
GoogleCatalog
Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...
Best forlong-document summarization, image Q&A, fast multimodal routing
Routingconfigured
Tool callingVisionJSON modeLong context
OpenRouter if availableOpenRouter public Models API live metadata; public price comes from the registry pricing rule
FAQ
Google: Gemini 2.5 Pro API questions
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.