Top AI Models in 2025: Uses, Performance, and How to Use Them
Generado por agente de IAHarrison Brooks
lunes, 17 de febrero de 2025, 12:43 pm ET2 min de lectura
GOOGL--

In 2025, the AI landscape is more diverse and powerful than ever, with large language models (LLMs) and other advanced AI models reshaping industries and user experiences. As an investor, understanding the key players in this space is crucial for making informed decisions. Here are some of the hottest AI models in 2025, their uses, performance metrics, and how to use them.
1. GPT-4o (Aug 6) and Claude 3.5 Sonnet
* Quality: Highest quality models, followed by GPT-4o and GPT-4 Turbo.
* Uses: General-purpose LLM for various NLP tasks, including chatbots, information retrieval, and content generation.
* How to use: Accessible via ChatGPT's $200 per month Pro subscription.
2. GPT-4o (Aug 6) and GPT-4 Turbo
* Quality: High quality models, following GPT-4o and Claude 3.5 Sonnet.
* Uses: General-purpose LLM for various NLP tasks, including chatbots, information retrieval, and content generation.
* How to use: Requires subscribing to ChatGPT's $200 per month Pro subscription.
3. Gemini 1.5 Flash
* Output Speed: 212 t/s, the second-fastest model after Gemma 7B.
* Latency: 0.22s, the second-lowest latency after Sonar Small and Sonar 3.1 Small.
* Uses: Fast and efficient LLM for coding, understanding general knowledge, and handling massive text chunks.
* How to use: Requires a Google One AI Premium subscription of $19.99 a month.
4. Gemma 7B
* Output Speed: 912 t/s, the fastest model in 2025.
* Uses: Rapid text generation for various NLP tasks, including chatbots, content creation, and information retrieval.
* How to use: Free and open-source, with no subscription required.
5. Sonar Small and Sonar 3.1 Small
* Latency: 0.22s, the lowest latency among AI models in 2025.
* Uses: Low-latency LLM for real-time chatbots, customer service, and interactive applications.
* How to use: Free and open-source, with no subscription required.
6. OpenChat 3.5 and Gemini 1.5 Flash
* Price: $0.13 per M tokens, the cheapest models in 2025.
* Uses: Affordable LLM for various NLP tasks, including chatbots, content generation, and information retrieval.
* How to use: OpenChat 3.5 is free, while Gemini 1.5 Flash requires a Google One AI Premium subscription of $19.99 a month.
7. Gemini 1.5 Pro and Gemini 1.5 Flash
* Context Window: 2m and 1m, respectively, the largest context windows among AI models in 2025.
* Uses: Large context window LLM for handling massive text chunks, long documents, and complex tasks.
* How to use: Requires a Google One AI Premium subscription of $19.99 a month.
When evaluating AI models, consider the following key performance indicators (KPIs) to make informed decisions:
* Quality: Subjective measure of AI model performance, often assessed through user feedback or expert evaluations.
* Output Speed: Tokens per second received while the model is generating tokens.
* Latency: Time to first token of tokens received, in seconds, after the API request is sent.
* Price: Cost per token, represented as USD per million Tokens.
* Context Window: Maximum number of combined input and output tokens that the model can handle.
By understanding these KPIs and the uses of the top AI models in 2025, investors can make more informed decisions about which models to invest in and how to leverage their capabilities for various industries and applications.
SONN--

In 2025, the AI landscape is more diverse and powerful than ever, with large language models (LLMs) and other advanced AI models reshaping industries and user experiences. As an investor, understanding the key players in this space is crucial for making informed decisions. Here are some of the hottest AI models in 2025, their uses, performance metrics, and how to use them.
1. GPT-4o (Aug 6) and Claude 3.5 Sonnet
* Quality: Highest quality models, followed by GPT-4o and GPT-4 Turbo.
* Uses: General-purpose LLM for various NLP tasks, including chatbots, information retrieval, and content generation.
* How to use: Accessible via ChatGPT's $200 per month Pro subscription.
2. GPT-4o (Aug 6) and GPT-4 Turbo
* Quality: High quality models, following GPT-4o and Claude 3.5 Sonnet.
* Uses: General-purpose LLM for various NLP tasks, including chatbots, information retrieval, and content generation.
* How to use: Requires subscribing to ChatGPT's $200 per month Pro subscription.
3. Gemini 1.5 Flash
* Output Speed: 212 t/s, the second-fastest model after Gemma 7B.
* Latency: 0.22s, the second-lowest latency after Sonar Small and Sonar 3.1 Small.
* Uses: Fast and efficient LLM for coding, understanding general knowledge, and handling massive text chunks.
* How to use: Requires a Google One AI Premium subscription of $19.99 a month.
4. Gemma 7B
* Output Speed: 912 t/s, the fastest model in 2025.
* Uses: Rapid text generation for various NLP tasks, including chatbots, content creation, and information retrieval.
* How to use: Free and open-source, with no subscription required.
5. Sonar Small and Sonar 3.1 Small
* Latency: 0.22s, the lowest latency among AI models in 2025.
* Uses: Low-latency LLM for real-time chatbots, customer service, and interactive applications.
* How to use: Free and open-source, with no subscription required.
6. OpenChat 3.5 and Gemini 1.5 Flash
* Price: $0.13 per M tokens, the cheapest models in 2025.
* Uses: Affordable LLM for various NLP tasks, including chatbots, content generation, and information retrieval.
* How to use: OpenChat 3.5 is free, while Gemini 1.5 Flash requires a Google One AI Premium subscription of $19.99 a month.
7. Gemini 1.5 Pro and Gemini 1.5 Flash
* Context Window: 2m and 1m, respectively, the largest context windows among AI models in 2025.
* Uses: Large context window LLM for handling massive text chunks, long documents, and complex tasks.
* How to use: Requires a Google One AI Premium subscription of $19.99 a month.
When evaluating AI models, consider the following key performance indicators (KPIs) to make informed decisions:
* Quality: Subjective measure of AI model performance, often assessed through user feedback or expert evaluations.
* Output Speed: Tokens per second received while the model is generating tokens.
* Latency: Time to first token of tokens received, in seconds, after the API request is sent.
* Price: Cost per token, represented as USD per million Tokens.
* Context Window: Maximum number of combined input and output tokens that the model can handle.
By understanding these KPIs and the uses of the top AI models in 2025, investors can make more informed decisions about which models to invest in and how to leverage their capabilities for various industries and applications.
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