Gemini-2.5-Pro-Preview-05-06
N/A
Model parameter quantity
Google
Affiliated organization
Closed Source
License Type
May 6, 2025
Release time
Related figures
Model Introduction
Gemini 2.5 Pro is a model released by Google DeepMind artificial intelligence research team, using version number Gemini-2.5-Pro-Preview-05-06.
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Language comprehension ability
Capable of understanding complex contexts and generating logically coherent sentences, though occasionally off in tone control.
8.0
Knowledge coverage scope
Covers more than 200 specialized fields, integrating the latest research findings and cross-cultural knowledge in real time.
9.1
Reasoning ability
Capable of building multi-level logical frameworks, achieving over 99% accuracy in complex mathematical modeling.
9.0
Model comparison
Gemini-2.5-Pro-Preview-05-06 vs Qwen2.5-7B-Instruct
Like Qwen2, the Qwen2.5 language models support up to 128K tokens and can generate up to 8K tokens. They also maintain multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
Gemini-2.5-Pro-Preview-05-06 vs GPT-4o-mini-20240718
GPT-4o-mini is an API model produced by OpenAI, with the specific version number being gpt-4o-mini-2024-07-18.
Gemini-2.5-Pro-Preview-05-06 vs GPT-4o-mini-20240718
GPT-4o-mini is an API model produced by OpenAI, with the specific version number being gpt-4o-mini-2024-07-18.
Related model
Gemma-3-27B-it
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.
Gemini-2.5-Pro
The official release version of the Gemini 2.5 pro
Gemini-1.5-Pro-Latest
Gemini 1.5 Pro introduces a breakthrough context window of up to two million tokens — the longest context window of any large scale foundation model yet. It achieves near-perfect recall on long-context retrieval tasks across modalities, unlocking the ability to accurately process large-scale documents, thousands of lines of code, hours of audio, video, and more.
Gemma-2-27B-it
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.
Gemma-2-27B-it
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.
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