Gemini 2.5 Pro
Gemini 2.5 Pro is a large multimodal artificial intelligence model developed by Google DeepMind, representing a high-performance version of the Gemini series. The model provides multimodal understanding and generation capabilities across text, code, and images, with strong performance in complex reasoning, system design, and programming assistance tasks. It supports long-context processing and is suited for research, development, and enterprise applications.
Core Facts
Compared with the full Gemini 2.5 Pro, Gemini 2.5 Flash significantly reduces inference latency and computational cost while maintaining relatively high generation quality.
Google Gemini 1.5 Pro supports a context window of up to 1 million tokens and has native multimodal capabilities.
Timeline (last 90 days)
On UniQL's Oracle dialect task, the best published result (single-attempt accuracy) is 49.61%, achieved by Claude Sonnet 4.5; Gemini 2.5 Pro's accuracy is 26.14%.
In the 1M-token CorpusQA evaluation, standard RAG achieved an accuracy of 17.38%, while the Memory Agent approach using Gemini 2.5 Pro reached 44.95%.
In the CorpusQA evaluation, Gemini 2.5 Pro achieved an overall accuracy of 80.19% at a 128K context length and 50.73% at a 1M context length, a drop of 29.46 percentage points.
GLM-5 and Gemini 2.5 Pro tied for second place, both scoring 0.92 (34/37).
Both Gemini 2.5 Pro and Gemini 2.5 Flash accurately identified the conceptual errors in the unlearning code and used the original forget set labels in their fixes.
Previously, models such as Gemini 2.5 Pro and GPT-5 could only achieve 10%–20% on Frontier Math Tier 4.
xAI's Grok has a context window of 256K tokens, Claude Opus has 200K, and Gemini 2.5 Pro can reach 1 million tokens.
TeleChat supports GPT-5, DALL·E, Groq, Gemini 2.5 Pro/Flash, and the official Claude 4.1 API.
By 2024–2025, with the release of models such as Claude 3.5 Sonnet and Gemini 2.5 Pro, the performance of the three major vendors on core programming tasks had become highly convergent
Google's Gemini Code Assist is based on Gemini 2.5 Pro, JetBrains has launched the Junie AI assistant, and IDE-level products such as Cursor and Windsurf are also on the rise.
All Facts (10)
Compared with the full Gemini 2.5 Pro, Gemini 2.5 Flash significantly reduces inference latency and computational cost while maintaining relatively high generation quality.
90%VerifiedGoogle Gemini 1.5 Pro supports a context window of up to 1 million tokens and has native multimodal capabilities.
90%UnverifiedGemini 2.5 Pro在Android Studio中深度内置，专门针对安卓开发做了优化
90%UnverifiedGemini 2.5 Pro支持100万token上下文窗口，在多项基准测试中表现优异，尤其在长上下文理解和多步推理方面领先
85%UnverifiedGemini 2.5 Pro模型内部包含多个专家子网络，每次推理时只激活其中一部分，从而在保持超大参数量的同时控制计算成本
80%UnverifiedOn UniQL's Oracle dialect task, the best published result (single-attempt accuracy) is 49.61%, achieved by Claude Sonnet 4.5; Gemini 2.5 Pro's accuracy is 26.14%.
50%UnverifiedBoth Gemini 2.5 Pro and Gemini 2.5 Flash accurately identified the conceptual errors in the unlearning code and used the original forget set labels in their fixes.
50%UnverifiedPreviously, models such as Gemini 2.5 Pro and GPT-5 could only achieve 10%–20% on Frontier Math Tier 4.
50%UnverifiedTeleChat supports GPT-5, DALL·E, Groq, Gemini 2.5 Pro/Flash, and the official Claude 4.1 API.
50%UnverifiedGoogle's Gemini Code Assist is based on Gemini 2.5 Pro, JetBrains has launched the Junie AI assistant, and IDE-level products such as Cursor and Windsurf are also on the rise.
50%