---
title: GPT-4 Omni—Chat with the LLM
canonical: https://telnyx.com/llm-library/gpt-4-omni
---
# GPT-4 Omni—Chat with the LLM

[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.)
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* [![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-4 Omni—Chat with the LLM

# GPT-4 Omni

OpenAI's omni model trained end-to-end across text, vision, and audio, delivering GPT-4-level reasoning at faster speeds and lower cost.

[Start building](https://telnyx.com/sign-up)[GET Available Models](https://developers.telnyx.com/docs/inference/models)

## about

The "o" stands for omni: unlike GPT-4V which routed vision through a separate encoder, [GPT-4o processes text, images, and audio through a single end-to-end neural network](https://developers.openai.com/docs/models/gpt-4o). It responds to audio input in roughly 320ms on average, runs 2x faster than GPT-4 Turbo at half the cost, and was the first model to bring GPT-4-class intelligence to ChatGPT's free tier.

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

### 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-4 Omni

In the [AI Playground](https://portal.telnyx.com/#/app/next/ai/ai-playground "Telnyx AI Playground") select GPT-4 Omni 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

### Is ChatGPT 4o free?

GPT-4o is available in ChatGPT's free tier with usage limits. Paid subscribers get higher rate limits and priority access. API pricing is $2.50 per million input tokens through [OpenAI and inference providers](https://telnyx.com/llm-library/gpt-4-omni).

### What is GPT-4o and GPT-4?

GPT-4o ("omni") is OpenAI's natively multimodal successor to GPT-4, processing text, images, and audio in a single model. It is [faster, cheaper, and more capable](https://openai.com/index/hello-gpt-4o/) than GPT-4 across most benchmarks.

128000

## Use cases for GPT-4 Omni

1. **Native audio interaction:** GPT-4o processes speech end-to-end in a single neural network at 320ms average latency, generating responses with emotion, intonation, and pacing without a separate TTS step.
2. **Cross-modal reasoning:** Its unified architecture handles tasks that require jointly interpreting text, images, and audio, such as describing a photo while responding to a spoken question about it.
3. **Multilingual content production:** Significant improvements over GPT-4 Turbo on Arabic, Hindi, Mandarin, and other non-English benchmarks make it suited for global content generation at consistent quality.

## Quality

Arena Elo1316

MMLU88.7

MT BenchN/A

GPT-4o scores 88.7% on MMLU (5-shot) and 90.2% on HumanEval, surpassing GPT-4 (86.4% MMLU, 67.0% HumanEval) on the same sheet across both knowledge and code benchmarks. It runs at 2x the speed of GPT-4 Turbo at 50% lower cost while adding native audio and image processing. On multilingual tasks it significantly outperforms GPT-4 Turbo, particularly on Arabic, Hindi, and Mandarin.

**llama-3.3-70b-versatile**

1318

**Llama-3.3-70B-Instruct**

1318

**GPT-4 Omni**

1316

**Claude-3-7-Sonnet-Latest**

1268

**GPT-4 1106 Preview**

1251

## pricing

Running GPT-4o through Telnyx Inference costs $2.50 per million input tokens and $10.00 per million output tokens. Processing 1,000,000 multimodal interactions at 1,500 tokens each would cost approximately $9,375, half the price of GPT-4 Turbo ($30,000) with faster speed and native audio/image support.

## What's Twitter saying?

* Developers praise **GPT-4o** for its blazing speed and creativity in coding, ideal for rapid prototyping and brainstorming, though it requires human review for production due to occasional errors.
* Reviewers highlight its **superior speed, half-price API, emotional voice expression**, and free access with advanced features, making it a game-changer even for non-paying users.
* Some users report a **concerning decline** in technical accuracy and precision compared to earlier versions, with API responses underperforming versus the web console.

| 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      |
| 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)

### Is ChatGPT 4o still available?

Yes, GPT-4o remains available in both ChatGPT and the API. It continues to be one of OpenAI's primary models alongside newer releases like GPT-4.1 and GPT-5, accessible through [multiple inference platforms](https://telnyx.com/llm-library/gpt-4o-mini).

### How do I access GPT-4o?

GPT-4o is accessible through ChatGPT (free and paid tiers), the OpenAI API, and third-party [inference providers](https://telnyx.com/llm-library/gpt-4-omni). API access requires an OpenAI account with billing configured.

### What is GPT-4o best for?

GPT-4o excels at multimodal tasks combining text, vision, and audio understanding, making it particularly strong for [real-time voice applications](https://telnyx.com/llm-library/gpt-4-omni) and document analysis. It also performs well on coding, reasoning, and creative writing tasks.

### How much does GPT-4o cost?

GPT-4o is priced at $2.50 per million input tokens and $10 per million output tokens through the API. This is significantly cheaper than the original GPT-4 while delivering [better performance](https://en.wikipedia.org/wiki/GPT-4o) across most benchmarks.

### Is GPT-4o better than GPT-4?

GPT-4o outperforms GPT-4 on most benchmarks while being faster and approximately 50% cheaper. Its native multimodal capabilities for [vision and audio processing](https://telnyx.com/llm-library/gpt-4-omni) represent a significant upgrade over GPT-4's text-first architecture.