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bifrost/app/blog/blogs/google-gemini-exp-1206/metadata.json
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{ | ||
"title": "Google's Gemini-Exp-1206 is Outperforming GPT-4o and O1", | ||
"title1": "Google's Gemini-Exp-1206 is Outperforming GPT-4o and O1", | ||
"title2": "Google's Gemini-Exp-1206 is Outperforming GPT-4o and O1", | ||
"description": "Released in December 2024, Gemini-Exp-1206 is quickly beating the performance of OpenAI gpt-4o, o1, claude 3.5 Sonnet and Gemini 1.5. Delve into key features, benchmarks, applications and what the hype is all about. ", | ||
"images": "/static/blog/google-gemini-exp-1206/cover.webp", | ||
"time": "8 minute read", | ||
"author": "Lina Lam", | ||
"date": "December 7, 2024", | ||
"badge": "news" | ||
} |
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Google's Gemini-Exp-1206 is quickly making waves in the world of generative AI. Upon release in December 2024, it's already **beating the performance** of OpenAI gpt-4o, <a href="https://www.helicone.ai/blog/openai-o1-and-chatgpt-pro" target="_blank" rel="noopener">OpenAI o1</a>, claude 3.5 Sonnet and Gemini 1.5 on LMArena. | ||
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![Gemini-Exp-1206 outperforming GPT-4o and O1 on Chatbot Arena](/static/blog/google-gemini-exp-1206/cover.webp) | ||
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In this blog, we will cover key features, performance benchmarks, real world applications of Google Gemini-Exp-1206, and what the hype is all about. | ||
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--- | ||
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# Understanding Gemini-Exp-1206 | ||
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**Gemini-Exp-1206** is the newest large language model (LLM) in Google’s experimental Gemini series, designed to be **multilingual**, **handle multi-modal inputs like text, voice and images, and achieve top-tier performance** across diverse AI tasks. As part of Google's larger strategy to integrate advanced machine learning models into real-world applications, Gemini-Exp-1206 has quickly captured attention for its capabilities across creative, technical, and conversational domains. | ||
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Despite being a prototype, Gemini-Exp-1206 has distinguished itself by excelling in challenging benchmarks. It represents the culmination of iterative improvements in the Gemini series, showcasing innovations in multi-tasking, contextual understanding, and creative problem-solving. | ||
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### How can you access Gemini-Exp-1206? | ||
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Gemini-exp-1206 can be accessed in <a href="https://aistudio.google.com/app/prompts/new_chat?model=gemini-exp-1206" target="_blank" rel="noopener">Google AI Studio</a>, and the Gemini API. Developers use <a href="https://docs.helicone.ai/integrations/gemini/api/javascript" target="_blank" rel="noopener">Helicone</a> to monitor, debug and improve their LLM apps. | ||
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--- | ||
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# Key Performance Metrics | ||
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Gemini-exp-1206 has achieved top rankings on several AI leaderboards, including #1 overall on the <a href="https://lmarena.ai/" target="_blank" rel="noopener">Chatbot Arena leaderboard</a>, #2 on coding average and #1 on Mathematical average on the <a href="https://livebench.ai/#/" target="_blank" rel="noopener">Live Bench leaderboard</a>. | ||
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![Gemini-exp-1206 performance on Chatbot Arena Leaderboard](/static/blog/google-gemini-exp-1206/chatbot-arena.webp) | ||
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![Gemini-exp-1206 performance on Live Bench Leaderboard](/static/blog/google-gemini-exp-1206/live-bench-leaderboard.webp) | ||
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### 1. Chatbot Arena Performance | ||
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Gemini-Exp-1206 has demonstrated impressive performance by achieving an Arena score of `1377`, **<span style={{color: '#03A9F4'}}>surpassing ChatGPT-4o's score of `1366`</span>**. | ||
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It excels at handling hard prompts, effectively managing complex queries that require nuanced and detailed responses. Moreover, Gemini-Exp-1206 is adept at generating style-controlled output, allowing it to adjust tone, structure, and content to meet specific user needs. Furthermore, it performs well in multi-turn dialogues, maintaining contextual awareness and memory to navigate sustained conversations with ease. | ||
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### 2. Domain-Specific Rankings | ||
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| Domain | Capabilities | | ||
| -------------------- | ------------------------------------------------------------------------------------------------------------------- | | ||
| **Coding** | Excels at offering optimized code suggestions and effective debugging solutions, streamlining development processes | | ||
| **Mathematics** | Ability to solve complex and advanced problems with precision | | ||
| **Creative Writing** | Shows remarkable originality and adaptability, producing content that is both engaging and inventive | | ||
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Additionally, it excels in instruction following, being able to deliver clear, concise, and step-by-step guidance. Compared to its predecessor `Gemini-Exp-1114`, the `1206` version shows a lower margin of error and higher reliability. However, it still lags behind ChatGPT-4 in terms of stability during extensive public testing. | ||
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## What sets Gemini-Exp-1206 apart? | ||
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### Massive Context Window | ||
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Gemini-exp-1206 has a `2,097,152 token` context window, significantly larger than most publicly available LLMs. This allows the model to: | ||
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- Process and understand extremely long pieces of text | ||
- Maintain context across extensive documents | ||
- Handle large codebases more effectively | ||
- Tackle complex reasoning tasks with a broader range of information | ||
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### Advanced Alignment Techniques | ||
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Gemini-Exp-1206 benefits from enhanced reinforcement learning (RL) processes. This fine-tuning enables it to generate responses that align closely with user expectations while maintaining coherence across lengthy interactions. | ||
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### Free Access | ||
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Google has made Gemini-exp-1206 freely available through Google AI Studio and the Gemini API. Some developers have turned away from `gpt-o1` and are using `gemini-exp-1206` instead of paying for the ChatGPT Pro subscription. This accessibility allows developers and researchers to experiment with and integrate cutting-edge AI capabilities without cost barriers. | ||
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<CallToAction | ||
title="Integrate your Gemini app in seconds ⚡️" | ||
description="Start monitoring your Gemini app with Helicone." | ||
primaryButtonText="Start for free" | ||
primaryButtonLink="https://docs.helicone.ai/integrations/gemini/api/javascript" | ||
secondaryButtonText="Check Gemini's model status" | ||
secondaryButtonLink="https://www.helicone.ai/status/provider/Google" | ||
/> | ||
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--- | ||
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# How Gemini-Exp-1206 Compares With Other Models | ||
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### 1. Gemini vs OpenAI’s GPT-4 and o1 | ||
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Gemini-Exp-1206 surpasses GPT-4 in categories like hard prompts and creative tasks. However, GPT-4 leads in stability and widespread adoption, with over 21,000 user votes compared to Gemini’s 5,000 in evaluations such as the Chatbot Arena leaderboard. Developers reported that Gemini-exp-1206 is notably faster in generating responses compared to openAI o1 and has a significantly larger context window. | ||
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### 2. Gemini vs Meta’s Llama 3.3 | ||
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Meta's Llama 3.3, <a href="https://www.helicone.ai/blog/meta-llama-3-3-70-b-instruct" target="_blank" rel="noopener">the newest open-source model</a> also released in December 2024, excels in cost-efficiency and inference speed. While impressive, Llama 3.3 70B ranks slightly lower as it performs similarly to GPT-4o on some benchmarks. | ||
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Gemini-Exp-1206 outshines it in advanced reasoning and task generalization. While Gemini-exp-1206 currently holds an edge in overall performance and multimodal capabilities, Llama 3.3 70B has impressive results for an open-source model, particularly as a cost-effective local deployment option. | ||
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-> **<span style={{color: '#03A9F4'}}>Want to know how Gemini-Exp-1206 compares with other models?</span>** Check out our <a href="https://www.helicone.ai/comparison" target="_blank" rel="noopener">free model comparison tool</a>. | ||
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--- | ||
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# Applications Across Industries | ||
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In **software development**, Gemini-Exp-1206’s advanced coding capabilities empower developers to streamline workflows, from automating repetitive tasks like generating boilerplate code to solving intricate debugging challenges. | ||
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In **education and tutoring**, the model’s precision in mathematics and ability to follow instructions make it an ideal tool for creating personalized, interactive learning experiences. | ||
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For **content creation**, its mastery of style control enables writers, marketers, and filmmakers to produce engaging, audience-specific material. | ||
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In **research and analytics**, Gemini-Exp-1206 excels at synthesizing complex data and delivering actionable insights, proving invaluable for researchers and decision-makers alike. | ||
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## Challenges and Limitations | ||
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- As a developing model, it lacks comprehensive testing and reliability compared to established AI systems like GPT-4. The model may not be robust enough for enterprise-scale deployment or production-ready apps. | ||
- Gemini-Exp-1206 remains an experimental prototype with limitations. With limited testing data and fewer user votes raise concerns about reliability across real-world scenarios. | ||
- Continuous refinement and innovation will be crucial for success in the competitive generative AI landscape. | ||
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## What’s next for Gemini? | ||
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With its tremendous potential for future developments, Gemini-Exp-1206 is a positive step forward for Google's generative AI initiatives. It is anticipated that stability improvements would resolve dependability concerns and prepare it for use in production settings. | ||
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## Bottom line | ||
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Gemini-Exp-1206 is pushing the boundaries of performance, setting a high bar for competitors. Gemini-exp-1206 is likely an early version of future Gemini iterations, with more advanced versions on the horizon. | ||
It's important to note that all AI models comes with strengths and limitations. Depending on your use case, Gemini-Exp-1206 might be suitable for you. | ||
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## Other models you might be interested in: | ||
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- <a | ||
href="https://www.helicone.ai/blog/openai-o1-and-chatgpt-pro" | ||
target="_blank" | ||
rel="noopener" | ||
> | ||
O1 and ChatGPT Pro — here's everything you need to know | ||
</a> | ||
- <a | ||
href="https://www.helicone.ai/blog/openai-gpt-5" | ||
target="_blank" | ||
rel="noopener" | ||
> | ||
GPT-5: release date, features & what to expect | ||
</a> | ||
- <a | ||
href="https://www.helicone.ai/blog/meta-llama-3-3-70-b-instruct" | ||
target="_blank" | ||
rel="noopener" | ||
> | ||
Llama 3.3 just dropped — is it better than GPT-4 or Claude-Sonnet-3.5? | ||
</a> | ||
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--- | ||
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## Questions or feedback? | ||
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Are the information out of date? Please <a href="https://github.com/Helicone/helicone/pulls" target="_blank">raise an issue</a> and we'd love to hear your insights! |
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