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Gemini 2.5 Pro Preview (Mar' 25) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 27.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 80.0 | 100.0 | Artificial Analysis official API |
| AA Coding Index | 46.7 | 100.0 | Artificial Analysis official API |
| SciCode | 43.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 86.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 66.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 98.0 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 88.0 | 100.0 | — |
| AA Math Index | 87.7 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 34.6 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 85.8 | 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 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 54.0 | 100.0 | — |
Gemini 2.5 Pro Preview (Mar' 25) is an AI model developed by Google, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Google's cloud API.
Gemini 2.5 Pro Preview (Mar' 25) does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Google's official website for up-to-date availability and pricing.
Gemini 2.5 Pro Preview (Mar' 25) was evaluated on 15 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.
Gemini 2.5 Pro Preview (Mar' 25) specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, Gemini 2.5 Pro Preview (Mar' 25) 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.
Gemini 2.5 Pro Preview (Mar' 25) is an AI model developed by Google. It is a text model.
Gemini 2.5 Pro Preview (Mar' 25) does not have public per-token pricing available at this time. Check Google's official website for up-to-date information.
In available benchmarks, Gemini 2.5 Pro Preview (Mar' 25) scored: Terminal-Bench Hard: 27/100, LiveCodeBench: 80/100, AA Coding Index: 46.7/100. See the full table above for a detailed comparison.
No, Gemini 2.5 Pro Preview (Mar' 25) is a proprietary model from Google. It is available via cloud API. For open source alternatives, check our open source model ranking.
Gemini 2.5 Pro Preview (Mar' 25) excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →