--- title: GPT-3.5 Turbo—High performance with practical benefits canonical: https://telnyx.com/llm-library/gpt-3-5-turbo --- # GPT-3.5 Turbo—High performance with practical benefits [Start building](https://telnyx.com/sign-up) ### Ask AI * [![GPT](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/chatgpt_icon-ea55e09d.jpeg?width=92&format=webp)](https://chat.openai.com/?q=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) * [![Claude](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/claude_icon-c7c8eef3.webp?width=92&format=webp)](https://claude.ai/new?q=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) * [![Perplexity](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/perplexity_icon-cd5b74f1.webp?width=92&format=webp)](https://www.perplexity.ai/search?q=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) * [![Gemini](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/gemini_icon-4ff1cbf4.webp?width=92&format=webp)](https://www.google.com/search?udm=50&aep=11&q=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) * [![Grok](https://d2efw2akbx8gaf.cloudfront.net/https://dotcom-payload-assets-prod.s3.us-east-1.amazonaws.com/cms-media/grok_icon-e588e5bd.webp?width=92&format=webp)](https://x.com/i/grok?text=What makes Telnyx's global network different, breakdown call quality for normal phone calls and voice AI calls.) # GPT-3.5 Turbo OpenAI's fast, cost-efficient model optimized for chat and text generation, capable of handling natural language and code tasks with a 16k context window. [Start building](https://telnyx.com/sign-up)[GET Available Models](https://developers.telnyx.com/docs/inference/models) ## about The model that brought large language models into mainstream production, [GPT-3.5 Turbo](https://developers.openai.com/docs/models/gpt-3.5-turbo) is believed to run at roughly 20B parameters based on leaked research, achieving better performance than the 175B GPT-3 through RLHF fine-tuning. It supports function calling, JSON mode, and a 16K context window, and dominated the API market through 2023 as the default cost-performance choice. Licenseopenai Context window(in thousands) ## Explore Our LLM Library Discover the power and diversity of large language models available with Telnyx. Explore the options below to find the perfect model for your project. ### DeepSeek-V4-Flash-0731 OrganizationTelnyx Model NameDeepSeek-V4-Flash-0731 Taskstext generation Languages SupportedEnglish Context Length1,048,576 Parameters284.0B Model Tierunlisted Licensemit ### DeepSeek-V4.1-Flash ### gemma-2b-it ### gemma-4-26B-A4B-it ### gemma-4-31B-it ### Llama-3.3-70B-Instruct ### Meta-Llama-3.1-70B-Instruct ### Meta-Llama-3.1-8B-Instruct ### MiniMax-M2.7 ### MiniMax-M3-MXFP8 ### Kimi-K2.5 ### Kimi-K2.6 ### Kimi-K3 ### personaplex-7b-v1 ### Laguna-S-2.1 ### Qwen3-235B-A22B ### Qwen3.8-27B ### GLM-5.1-FP8 ### GLM-5.2 ### GLM-5.3 ### GLM-5.3-Flash ### claude-haiku-4-5 ### gemini-2.5-flash ### gemini-3.7-flash ### gpt-oss-120b ### gpt-4.1 ### gpt-4o ### gpt-4o-mini ### gpt-5 ### gpt-5.1 ### gpt-5.2 ### gpt-5.4 ### gpt-5.4-mini ### gpt-5.6-luna ### gpt-5.6-sol ### gpt-live-1 HOW IT WORKS ## Selecting LLMs for Voice AI [GET Available Models](https://developers.telnyx.com/docs/inference/models) ### Create an account Sign-up to the Telnyx platform to get access to our suite of intuitive AI tools. ### Choose GPT-3.5 Turbo In the [AI Playground](https://portal.telnyx.com/#/app/next/ai/ai-playground "Telnyx AI Playground") select GPT-3.5 Turbo from the dropdown. ### Enter your API key If you’re using a proprietary model, you’ll need your API key before prompting the LLM. Our vast selection of OS models allow you to get started right away. ### Prompt the LLM Get responses from an LLM in minutes, and scale with our [OpenAI-compatible APIs](https://developers.telnyx.com/docs/inference/getting-started "Inference API Quickstart"). Step 1/4 **RESOURCES** ## Get started Check out our helpful tools to help get you started. * ### Test in the portal Easily browse and select your preferred model in the AI Playground. [Test today](https://portal.telnyx.com/#/ai/assistants) ## Sign up and start building [Sign up](https://telnyx.com/sign-up)[Contact sales](https://telnyx.com/contact-us) ## faqs ### Does GPT-3.5 Turbo still exist? Yes, GPT-3.5 Turbo remains available through the API, with the [0125 snapshot](https://telnyx.com/llm-library/gpt-3-5-turbo-0125) being the latest version. OpenAI recommends GPT-4o mini as the successor for new projects. ### Is GPT-3.5 Turbo Instruct free? GPT-3.5 Turbo is not free through the API but is one of OpenAI's most affordable models. It may be accessible through ChatGPT's free tier, and [inference providers](https://telnyx.com/llm-library/gpt-3-5-turbo) offer hosted access. ### Is GPT-3.5 Turbo better than GPT-4? GPT-4 is significantly more capable than GPT-3.5 Turbo on reasoning, coding, and complex tasks. GPT-3.5 Turbo's advantages are , making it suitable for high-volume, straightforward tasks. 4096 ## Use cases for GPT-3.5 Turbo 1. **High-throughput production chat:** As the model that scaled LLM access to mainstream adoption, its optimized inference delivers fast, cost-effective responses for chat applications serving millions of concurrent users. 2. **Function-calling API backends:** Native function calling and JSON mode support make it reliable for applications that translate user intent into structured API requests across internal and external services. 3. **Rapid prototyping and iteration:** Its speed and low cost per token make it practical for A/B testing prompt strategies, evaluating output formats, and validating application logic before scaling to more capable models. ## Quality Arena Elo1105 MMLU70 MT Bench8.1 GPT-3.5 Turbo scores 70.0% on MMLU (5-shot) and 7.94 on MT-Bench, establishing the quality baseline for the chat model category when it launched. Compared to GPT-4 (86.4% MMLU, 8.99 MT-Bench) on the same sheet, it trades 16 points of general knowledge for significantly lower cost and faster inference. It remains the most-used model for applications where speed and cost matter more than maximum reasoning depth. **Mixtral 8x7B Instruct v0.1** 1114 **GPT-3.5 Turbo-0125** 1106 **GPT-3.5 Turbo** 1105 **Llama 2 Chat 70B** 1093 **Nous Hermes 2 Mixtral 8x7B** 1084 ## pricing Telnyx Inference offers a cost-effective solution for running GPT-3.5 Turbo. It costs $0.0010 for every 1,000 tokens when running the model. For example, if you analyze 1,000,000 customer chats, and each chat has 1,000 tokens, it will cost $1,000. ## What's Twitter saying? * Fine-tuned **GPT-3.5 Turbo** can match or outperform base GPT-4 on narrow tasks, offering a cost-effective alternative to complex prompts or pricier models. * Developers praise newer versions like **gpt-3.5-turbo-1106** and **0125** for solid performance on retrieval and complex datasets, though not as capable as GPT-4. * It's viewed as **outdated and overpriced** compared to rivals like Claude 3 Haiku, but fine-tuning keeps it viable for custom tasks like support bots. | Organization | Model Name | Tasks | Languages Supported | Context Length | Parameters | Model Tier | License | | ------------ | ----------------------------------------------------------------------- | ---------------- | ------------------- | -------------- | ---------- | ---------- | ------------------------- | | Telnyx | DeepSeek-V4-Flash-0731 | text generation | English | 1,048,576 | 284.0B | unlisted | mit | | Telnyx | DeepSeek-V4.1-Flash | text generation | English | 1,048,576 | 552.0B | small | mit | | google | [gemma-2b-it](https://telnyx.com/llm-library/gemma-2b-it) | text generation | English | 8,192 | 2.5B | small | gemma | | google | gemma-4-26B-A4B-it | text to-text | Multilingual | 262,144 | 25.8B | small | apache-2.0 | | google | gemma-4-31B-it | text generation | Multilingual | 131,072 | 30.7B | small | apache-2.0 | | meta-llama | [Llama-3.3-70B-Instruct](https://telnyx.com/llm-library/llama-3.3-70b-instruct) | text generation | Multilingual | 99,000 | 70.6B | large | llama3.3 | | meta-llama | [Meta-Llama-3.1-70B-Instruct](https://telnyx.com/llm-library/meta-llama-3-1-70b-instruct) | text generation | Multilingual | 99,000 | 70.6B | large | llama3.1 | | meta-llama | [Meta-Llama-3.1-8B-Instruct](https://telnyx.com/llm-library/meta-llama-3.1-8b-instruct) | text generation | Multilingual | 131,072 | 8.0B | small | llama3.1 | | minimaxai | MiniMax-M2.7 | text generation | Multilingual | 200,000 | 0 | large | minimaxai | | minimaxai | MiniMax-M3-MXFP8 | text generation | Multilingual | 1,000,000 | 428.0B | small | minimax-community | | moonshotai | [Kimi-K2.5](https://telnyx.com/llm-library/kimi-k2.5) | text generation | Multilingual | 256,000 | 1.0T | large | modified-mit | | moonshotai | Kimi-K2.6 | text generation | Multilingual | 262,144 | 1.0T | medium | modified-mit | | moonshotai | Kimi-K3 | text generation | English | 1,000,000 | 2.8M | large | MIT Modified | | nvidia | personaplex-7b-v1 | speech to-speech | English | 3,000 | 7.0B | small | nvidia-open-model-license | | poolside | Laguna-S-2.1 | text generation | English | 1,048,576 | 117.6B | unlisted | OpenMDW-1.1 | | Qwen | [Qwen3-235B-A22B](https://telnyx.com/llm-library/qwen3-235b-a22b) | text generation | English | 32,768 | 235.1B | large | apache-2.0 | | Telnyx | Qwen3.8-27B | text generation | English | 262,144 | 27.0B | small | Apache 2.0 | | zai-org | GLM-5.1-FP8 | text generation | Multilingual | 202,752 | 753.9B | large | mit | | zai-org | GLM-5.2 | text generation | English | 1,000,000 | 753.9B | medium | MIT | | Telnyx | GLM-5.3 | text generation | English | 1,048,576 | 753.0B | medium | glm-5.3 | | zai-org | GLM-5.3-Flash | text generation | English | 1,048,576 | 320.0B | small | mit | | anthropic | [claude-haiku-4-5](https://telnyx.com/llm-library/claude-haiku-4-5) | text generation | Multilingual | 400,000 | 0 | large | openai | | google | [gemini-2.5-flash](https://telnyx.com/llm-library/gemini-2.5-flash) | text generation | Multilingual | 400,000 | 0 | large | openai | | google | gemini-3.7-flash | text generation | Multilingual | 400,000 | 0 | large | openai | | groq | [gpt-oss-120b](https://telnyx.com/llm-library/gpt-oss-120b) | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-4.1 | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | [gpt-4o](https://telnyx.com/llm-library/gpt-4-omni) | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | [gpt-4o-mini](https://telnyx.com/llm-library/gpt-4o-mini) | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-5 | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-5.1 | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | [gpt-5.2](https://telnyx.com/llm-library/gpt-5.2) | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-5.4 | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-5.4-mini | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-5.6-luna | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-5.6-sol | text generation | Multilingual | 400,000 | 0 | large | openai | | openai | gpt-live-1 | speech to-speech | Multilingual | 400,000 | 0 | large | openai | * ### Explore the docs Don’t wait to scale, start today with our public API endpoints. [Get started](https://developers.telnyx.com/api-reference/assistants/list-assistants) * ### Stay up to date Keep an eye on our AI changelog so you don't miss a beat. [See updates](https://telnyx.com/release-notes) speed and cost ### How much does GPT-3.5 Turbo cost? GPT-3.5 Turbo is priced at $0.50-$1.50 per million input tokens depending on the snapshot. It is one of the cheapest options in [OpenAI's lineup](https://telnyx.com/llm-library/gpt-3-5-turbo). ### Is GPT-3.5 Turbo good for chatbots? GPT-3.5 Turbo was the original ChatGPT model and handles conversational tasks well at low cost. For new chatbot projects, [GPT-4o mini](https://telnyx.com/llm-library/gpt-3-5-turbo-0125) offers better performance at competitive pricing. ### What is GPT-3.5 Turbo's context window? GPT-3.5 Turbo supports a 16K token context window in its latest snapshots. For applications requiring longer context, [newer models](https://telnyx.com/llm-library/gpt-3-5-turbo) like GPT-4o mini (128K) or GPT-4.1 (1M) are better options. GPT-3.5 Turbo—High performance with practical benefits