Gemini 2.5 Pro

Gemini 2.5 Pro

GoogleLLM

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...

MultimodalAPI AvailableVisionAudioTool CallingReasoning

Specifications

Context Window

1.0M tokens

Input Price/1M

$1.25

Output Price/1M

$10.00

Parameters

Max Output

66K tokens

Benchmarks

Gemini 2.5 Pro results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Coding

BenchmarkScoreMaximumMethodology
LiveCodeBench80.1100.0Artificial Analysis official API
AA Coding Index32.0100.0Artificial Analysis official API

Knowledge

BenchmarkScoreMaximumMethodology
MMLU-Pro86.0100.0

Math

BenchmarkScoreMaximumMethodology
MATH-50096.7100.0Artificial Analysis official API
AA Math Index87.7100.0Artificial Analysis official API
AIME 202587.7100.0Artificial Analysis official API

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index34.6100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
MMLU Pro86.2100.0Artificial Analysis official API
GPQA Diamond84.4100.0Artificial Analysis official API
HLE21.0100.0

Information

Release date
June 17, 2025
Tool Calling
✅ Supported
Vision
✅ Supported
Audio
✅ Supported

Full Analysis: Gemini 2.5 Pro

What is Gemini 2.5 Pro?

Gemini 2.5 Pro is an AI model developed by Google, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via Google's cloud API. With a context window of 1.0M tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.

Pricing & Costs in 2026

Gemini 2.5 Pro is usage-based, priced at $1.25/1M input tokens and $10/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.

Benchmarks & Performance

Gemini 2.5 Pro was evaluated on 10 different benchmarks, covering categories like Coding, Knowledge, Math, overall, Reasoning. Results show exceptional performance across available evaluations.

It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.

Recommended Use Cases

Gemini 2.5 Pro is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), image and visual document analysis (OCR, diagrams, screenshots), multimodal processing combining text and images, complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.

Comparison with Alternatives

In the 2026 AI model ecosystem, Gemini 2.5 Pro competes directly with similarly capable models. Key competitors include GPT (OpenAI), Claude (Anthropic), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.

For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.

Frequently Asked Questions

What is 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...

How much does Gemini 2.5 Pro cost?

Gemini 2.5 Pro costs $1.25/1M input tokens and $10/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.

How does Gemini 2.5 Pro compare with other models?

In available benchmarks, Gemini 2.5 Pro scored: LiveCodeBench: 80.1/100, AA Coding Index: 32/100, MMLU-Pro: 86/100. See the full table above for a detailed comparison.

Is Gemini 2.5 Pro open source?

No, Gemini 2.5 Pro is a proprietary model from Google. It is available via cloud API. For open source alternatives, check our open source model ranking.

What is Gemini 2.5 Pro best for?

Gemini 2.5 Pro excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.

Last updated: June 01, 2026 View methodology →