Google: Gemini 2.5 Pro
Analysis Summary
Gemini 2.5 Pro is Google's production flagship, combining leading technical performance with exceptional breadth. Its livecodebench score of 0.801 is among the highest in the field, its math index of 87.7 is outstanding, and its agentic index of 40.3 reflects strong multi-step task execution. The 1M token context window, combined with support for text, image, file, audio, and video input, makes it one of the most capable multimodal models available.
For business use, Gemini 2.5 Pro is a strong fit for software engineering, long-document analysis, complex agentic pipelines, and any workflow requiring large context or multimodal input. Its GPQA of 0.844 and MMLU Pro of 0.862 confirm deep general knowledge, and its LCR of 0.660 is among the best in this batch for long-context reliability. The coding index of 33.3 is lower than its livecodebench suggests, but the overall technical profile is strong.
At $1.25 input and $10.00 output per million tokens, it is competitively priced for a model of this capability. Teams needing a single model to handle diverse, demanding workloads, from code review to video analysis to long-form research, will find Gemini 2.5 Pro a compelling production choice.
Assessed June 30, 2026
Editorial notes
Gemini 2.5 Pro from Google combines a livecodebench of 0.801, math index of 87.7, 1M token context, full multimodal input including video, and strong agentic capability, making it one of the most capable all-round models at this price point.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Google: Gemini 2.5 Pro compares
Google: Gemini 2.5 Pro ranks #104 of 387 AI models we track for overall intelligence, #67 of 152 for coding, #119 of 294 for agentic tasks. Its 1M-token context window is larger than 97% of the models we list. At $1.25 per million input tokens it is cheaper than 22% of comparable models.
About Google: Gemini 2.5 Pro
Gemini 2.5 Pro is Googleās state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs āthinkingā capabilities, enabling it to reason through responses with enhanced accuracy..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Google: Gemini 2.5 Pro stack up?
Compare side-by-side with other specialist models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.25 | $0.001250 |
| Output | $10.00 | $0.010000 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Google: Gemini 2.5 Pro
How much does Google: Gemini 2.5 Pro cost?
Google: Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens.
What is the context window of Google: Gemini 2.5 Pro?
Google: Gemini 2.5 Pro has a context window of 1,048,576 tokens (1M).
Is Google: Gemini 2.5 Pro good for coding?
On our coding benchmark index, Google: Gemini 2.5 Pro ranks #67 of 152 models, placing it in the broader range of the field for code generation and debugging.
What can Google: Gemini 2.5 Pro do?
Google: Gemini 2.5 Pro supports image/vision input, tool use, and function calling.
Who created Google: Gemini 2.5 Pro?
Google: Gemini 2.5 Pro is developed by Google and was released on June 17, 2025.
