--- title: "GPT-4o Mini: Powerful AI Model for Diverse Tasks" canonical: https://telnyx.com/llm-library/gpt-4o-mini --- # GPT-4o Mini: Powerful AI Model for Diverse Tasks [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-4o-mini OpenAI's fast, affordable small model with 128k context, strong multimodal and function-calling capabilities, outperforming GPT-4 on chat preference benchmarks. [Start building](https://telnyx.com/sign-up)[GET Available Models](https://developers.telnyx.com/docs/inference/models) ## about When it launched in July 2024, [GPT-4o mini](https://developers.openai.com/docs/models/gpt-4o-mini) was the first model to outperform GPT-4 on LMSYS chat preference while costing less than GPT-3.5 Turbo, a roughly 100x cost reduction versus GPT-4 at comparable quality. It scores 82.0% on MMLU with 128K context and supports text and image input, function calling, and JSON mode at $0.15/$0.60 per million tokens. 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-4o-mini In the [AI Playground](https://portal.telnyx.com/#/app/next/ai/ai-playground "Telnyx AI Playground") select gpt-4o-mini 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 ### What is the difference between GPT-4o and mini? GPT-4o is the full multimodal model with maximum capability, while GPT-4o mini is a smaller, faster variant optimized for cost-efficient production tasks. GPT-4o mini scores [82% on MMLU](https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/) while costing a fraction of GPT-4o. ### Can I use GPT-4o mini for free? GPT-4o mini is available in ChatGPT's free tier with usage limits. Through the API, it requires a paid account with pricing at $0.15 per million input tokens, accessible through . 128,000 ## Use cases for gpt-4o-mini 1. **Vision-enabled content triage:** With image input support and GPT-4-level chat preference scores, it classifies and routes visual content like screenshots, receipts, and forms at a fraction of GPT-4's cost. 2. **High-volume structured extraction:** At $0.15 per million input tokens with function calling and JSON mode, it processes thousands of documents per dollar for entity extraction and data normalization. 3. **Lightweight multimodal assistants:** Its combination of 128K context, image understanding, and sub-GPT-3.5-Turbo pricing makes it practical for embedding multimodal intelligence into consumer-facing apps. ## Quality Arena Elo1382 MMLUN/A MT BenchN/A GPT-4o mini scores 82.0% on MMLU (5-shot), surpassing GPT-3.5 Turbo (70.0%) by 12 points and approaching GPT-4 (86.4%) territory at less than 1% the cost. On LMSYS chat preference it outperforms GPT-4 despite the 4-point MMLU gap, suggesting stronger conversational quality than raw knowledge scores indicate. It is the highest quality-per-dollar model on the sheet. **o1-preview** 1388 **gpt-4.1-mini** 1382 **gpt-4o-mini** 1382 **Gemini-2.5-Flash-Lite** 1374 **Gemini-2.0-Flash** 1360 ## pricing Running GPT-4o mini through Telnyx Inference costs $0.15 per million input tokens and $0.60 per million output tokens. Processing 10,000,000 classification tasks at 500 tokens each would cost approximately $3,750, more than 60% cheaper than GPT-3.5 Turbo and roughly 100x cheaper than GPT-4 at comparable chat quality. ## What's Twitter saying? * Developers praise **GPT-4o mini** for its blazing speed (2-2.5x faster than GPT-4) and 88% cost savings, ideal for error resolution, chatbots, and high-volume tasks in real-world apps. * Benchmarks show strong performance like **82% on MMLU**, excelling in verbal reasoning and multimodal tasks while rivaling larger models at a fraction of the cost. * Community critiques highlight flaws such as **stubborn numerical errors** (e.g., mishandling 9.11 > 9.9) and weaker data extraction compared to GPT-3.5 Turbo. | 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) OpenAI and inference providers ### What is the difference between GPT-4 and 4o? GPT-4o is a natively multimodal model that processes text, images, and audio jointly, while GPT-4 is text-only (with separate vision capabilities). GPT-4o is also [faster and cheaper](https://telnyx.com/llm-library/gpt-4.1-mini) than GPT-4, making it the recommended successor for most applications. ### What does 4o mini mean on ChatGPT? "4o mini" refers to the small, fast variant of GPT-4o (the "o" stands for "omni" indicating multimodal capability). It is ChatGPT's default model for [everyday tasks](https://telnyx.com/llm-library/gpt-4o-mini) where speed and cost efficiency are prioritized over maximum reasoning depth. ### Is ChatGPT 4o mini free? Yes, GPT-4o mini is the default free model in ChatGPT. It is also available through the API at $0.15 per million input tokens, making it one of [OpenAI's most affordable options](https://developers.openai.com/api/docs/models/gpt-4o-mini). ### Which GPT mini model is best? GPT-4.1 mini currently offers the strongest performance among OpenAI's mini models, followed by GPT-4o mini and GPT-5 mini. The best choice depends on your task: [GPT-4.1 mini](https://telnyx.com/llm-library/gpt-4.1-mini) leads on structured output, while GPT-5 mini is stronger on reasoning. ### How much does GPT-4 mini cost? GPT-4o mini is priced at $0.15 per million input tokens and $0.60 per million output tokens through the API. [Infrastructure providers](https://telnyx.com/llm-library/gpt-4o-mini) offer access with additional benefits like co-located inference for lower latency. GPT-4o Mini: Powerful AI Model for Diverse Tasks