GPT-3.5 Turbo-0613

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GPT-3.5 Turbo-0613, licensed by OpenAI, is a powerful language model. It excels in handling extensive discussions, making it ideal for customer support bots and content creation. Despite its undisclosed model size, it boasts a swift context window of 4.1 and is highly efficient in processing text.

Context window(in thousands)4096

Use cases for GPT-3.5 Turbo-0613

  1. Content generation: GPT-3.5 Turbo-0613 can produce high-quality articles, blog posts, or scripts with its large context windows, ensuring coherent and relevant output.
  2. API integrations: With its new function calling capability, GPT-3.5 Turbo-0613 can integrate with APIs to automate tasks or execute complex commands.
  3. Summarization tasks: Leveraging its robust language processing capabilities, GPT-3.5 Turbo-0613 can summarize lengthy documents, such as transcriptions from extended YouTube videos and podcast episodes.
Arena Elo1117
MT Bench8.39

GPT-3.5 Turbo-0613 demonstrates amazing performance in the Arena Elo rankings, delivering superior quality responses. It achieves a high MT Bench score, indicating strong translation abilities, and excels in MMLU score, reflecting deep understanding and knowledge.

GPT-4 0613


Llama 3 Instruct (8B)


GPT-3.5 Turbo-0613


Mixtral 8x7B Instruct v0.1


GPT-3.5 Turbo


Throughput(output tokens per second)56
Latency(seconds to first tokens chunk received)0.32
Total Response Time(seconds to output 100 tokens)2.2

The model offers moderate throughput, low latency, and rapid total response time, making it suitable for real-time applications. However, it may face challenges with high-volume concurrent usage.


The cost per 1,000 tokens for running the model with Telnyx Inference is $0.0010. To illustrate, if a marketing ops team were to analyze 1,000,000 customer chats, assuming each chat is 1,000 tokens long, the total cost would be $1,000.

What's Twitter saying?

  • API Cost Debate: Ted Sanders discusses the implications of API costs, noting it's twice the tokens per dollar compared to GPT-4-Turbo. He questions whether this difference significantly impacts use cases. (Source: Ted Sanders)
  • Update on Model Comparisons: Steven Heidel reminds followers that comparisons with other models often refer to the older GPT-4-0314, not the improved GPT-4-Turbo models. (Source: Steven Heidel)
  • New Models Beating GPT-4-0314: Josh highlights Command R+ outperforming GPT-4-0314, marking the first time open weights have surpassed a GPT-4 variant. The competition intensifies with Claude 3 Opus offering a 200k context window. (Source: Josh)

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What is GPT-3.5 Turbo-0613?

GPT-3.5 Turbo-0613 is a state-of-the-art large language model developed by OpenAI. It excels in efficiency and performance across various tasks, including customer support, content generation, and summarization. This model is distinguished by its ability to handle extensive discussions, integrate with APIs through function calling, and process text with high efficiency.

How does GPT-3.5 Turbo-0613 compare to other models in terms of speed and efficiency?

GPT-3.5 Turbo-0613 is known for its remarkable speed, boasting a turnaround time approximately 40% lower than its predecessors. Its efficiency in processing text makes it highly suitable for real-time applications, setting it apart from other large language models.

Can GPT-3.5 Turbo-0613 integrate with APIs?

Yes, GPT-3.5 Turbo-0613 supports function calling, allowing it to integrate seamlessly with APIs. This capability enables the automation of tasks and the execution of complex commands, making it a versatile tool for developers. For more information on integrating GPT-3.5 Turbo-0613 with your projects, visit OpenAI's API documentation.

How does GPT-3.5 Turbo-0613 perform in multilingual tasks?

GPT-3.5 Turbo-0613 has demonstrated strong multilingual capabilities, with significant improvements in communication across different languages. This enhancement in performance makes it an excellent choice for applications requiring robust translation abilities and international reach.

Are there any known issues with GPT-3.5 Turbo-0613?

Some users have reported a decrease in labeling quality with GPT-3.5 Turbo-0613 compared to previous versions, such as GPT-3.5-Turbo-0301. However, its overall performance in Arena Elo rankings and MT Bench score indicates strong translation abilities and efficiency in other areas.

How does GPT-3.5 Turbo-0613 handle summarization tasks?

GPT-3.5 Turbo-0613 excels in summarization, efficiently condensing lengthy documents into coherent summaries. This ability makes it particularly useful for analyzing large volumes of text and extracting pertinent information quickly.

Where can I start building connectivity apps using GPT-3.5 Turbo-0613?

You can begin integrating GPT-3.5 Turbo-0613 into your connectivity apps through platforms like Telnyx. Telnyx provides the necessary infrastructure and support to leverage the capabilities of GPT-3.5 Turbo-0613 in your applications. For more information on getting started, visit Telnyx's documentation.

How does GPT-3.5 Turbo-0613 differ from other GPT models?

GPT-3.5 Turbo-0613 stands out from other GPT models in several key areas, including its function calling capability, efficiency in text processing, competitive pricing, and specific performance characteristics such as labeling tasks and multilingual support. These features make it uniquely suited to a wide range of applications, from real-time customer support to complex content generation.