Specifications
Context Window
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Input Price/1M
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Output Price/1M
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Parameters
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Benchmarks
Gemini 2.0 Flash Thinking Experimental (Dec '24) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 32.1 | 100.0 | Artificial Analysis official API |
| AA Coding Index | 24.1 | 100.0 | Artificial Analysis official API |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 48.0 | 100.0 | Artificial Analysis official API |
| AA Math Index | 21.7 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 21.7 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 12.3 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 79.8 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 70.1 | 100.0 | Artificial Analysis official API |
Information
- Release date
- December 19, 2024
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Gemini 2.0 Flash Thinking Experimental (Dec '24)
What is Gemini 2.0 Flash Thinking Experimental (Dec '24)?
Gemini 2.0 Flash Thinking Experimental (Dec '24) 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 Flash Thinking Experimental (Dec '24) 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 Flash Thinking Experimental (Dec '24) was evaluated on 8 different benchmarks, covering categories like Coding, Math, overall, Reasoning. Results show moderate 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 Flash Thinking Experimental (Dec '24) specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Gemini 2.0 Flash Thinking Experimental (Dec '24) 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 Flash Thinking Experimental (Dec '24)?
Gemini 2.0 Flash Thinking Experimental (Dec '24) is an AI model developed by Google. It is a text model.
How much does Gemini 2.0 Flash Thinking Experimental (Dec '24) cost?
Gemini 2.0 Flash Thinking Experimental (Dec '24) 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 Flash Thinking Experimental (Dec '24) compare with other models?
In available benchmarks, Gemini 2.0 Flash Thinking Experimental (Dec '24) scored: LiveCodeBench: 32.1/100, AA Coding Index: 24.1/100, MATH-500: 48/100. See the full table above for a detailed comparison.
Is Gemini 2.0 Flash Thinking Experimental (Dec '24) open source?
No, Gemini 2.0 Flash Thinking Experimental (Dec '24) 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 Flash Thinking Experimental (Dec '24) best for?
Gemini 2.0 Flash Thinking Experimental (Dec '24) excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →