Specifications
Context Window
—
Input Price/1M
—
Output Price/1M
—
Parameters
—
Benchmarks
Gemini 2.0 Pro Experimental (Feb '25) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 35.0 | 100.0 | Artificial Analysis official API |
| SciCode | 31.0 | 100.0 | — |
| AA Coding Index | 25.5 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 81.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 92.3 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 18.1 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 80.5 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 62.0 | 100.0 | Artificial Analysis official API |
| HLE | 7.0 | 100.0 | — |
Information
- Release date
- February 05, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Gemini 2.0 Pro Experimental (Feb '25)
What is Gemini 2.0 Pro Experimental (Feb '25)?
Gemini 2.0 Pro Experimental (Feb '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.
Pricing & Costs in 2026
Gemini 2.0 Pro Experimental (Feb '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.
Benchmarks & Performance
Gemini 2.0 Pro Experimental (Feb '25) was evaluated on 9 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 2.0 Pro Experimental (Feb '25) specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Gemini 2.0 Pro Experimental (Feb '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.
Frequently Asked Questions
What is Gemini 2.0 Pro Experimental (Feb '25)?
Gemini 2.0 Pro Experimental (Feb '25) is an AI model developed by Google. It is a text model.
How much does Gemini 2.0 Pro Experimental (Feb '25) cost?
Gemini 2.0 Pro Experimental (Feb '25) does not have public per-token pricing available at this time. Check Google's official website for up-to-date information.
How does Gemini 2.0 Pro Experimental (Feb '25) compare with other models?
In available benchmarks, Gemini 2.0 Pro Experimental (Feb '25) scored: LiveCodeBench: 35/100, SciCode: 31/100, AA Coding Index: 25.5/100. See the full table above for a detailed comparison.
Is Gemini 2.0 Pro Experimental (Feb '25) open source?
No, Gemini 2.0 Pro Experimental (Feb '25) 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 2.0 Pro Experimental (Feb '25) best for?
Gemini 2.0 Pro Experimental (Feb '25) excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →