Gemini 2.5 Pro
Google • LLM
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...
Specifications
Context Window
1.0M tokens
Input Price/1M
$1.25
Output Price/1M
$10.00
Parameters
—
Speed
129 tok/s
Latency (TTFT)
20.4s
Max Output
66K tokens
Benchmarks
Gemini 2.5 Pro results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 27.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 80.0 | 100.0 | Artificial Analysis official API |
| SciCode | 43.0 | 100.0 | — |
| AA Coding Index | 33.3 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 86.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 66.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 96.7 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 88.0 | 100.0 | Artificial Analysis official API |
| AA Math Index | 87.7 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LMArena Elo | 1446.0 | 2000.0 | Crowdsourced blind pairwise comparisons |
| AA Intelligence Index | 25.8 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 86.2 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 84.0 | 100.0 | Artificial Analysis official API |
| IFBench | 49.0 | 100.0 | — |
| HLE | 21.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 54.0 | 100.0 | — |
Information
- Release date
- June 05, 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 16 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. 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: Terminal-Bench Hard: 27/100, LiveCodeBench: 80/100, SciCode: 43/100. 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: July 17, 2026 • View methodology →