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. 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.
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.
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.
Discover the power and diversity of large language models available with Telnyx. Explore the options below to find the perfect model for your project.
| 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 |
| Telnyx | DeepSeek-V4.1-Flash-1017 | text generation | English | 1,048,576 | 552.0B | small | mit |
| gemma-4-26B-A4B-it | text to-text | Multilingual | 262,144 | 25.8B | small | apache-2.0 | |
| gemma-4-31B-it | text generation | Multilingual | 131,072 | 30.7B | small | apache-2.0 | |
| meta-llama | Llama-3.3-70B-Instruct | text generation | Multilingual | 99,000 | 70.6B | large | llama3.3 |
| minimaxai | MiniMax-M3-MXFP8 | text generation | Multilingual | 1,000,000 | 428.0B | small | minimax-community |
| 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 |
| moonshotai | Kimi-K3.1-Pro | text generation | English | 1,000,000 | 2.8B | large | kimi-k3.1-pro |
| nvidia | NVIDIA-NemotronLabs-VoiceChat-11B | speech to-speech | English | 8,192 | 11.1B | medium | openmdw-1.1 |
| openai | gpt-oss-120b | text generation | Multilingual | 131,072 | 117.0B | small | apache-2.0 |
| poolside | Laguna-S-2.1 | text generation | English | 1,048,576 | 117.6B | small | OpenMDW-1.1 |
| Telnyx | Qwen3.8-27B | text generation | English | 262,144 | 27.0B | small | Apache 2.0 |
| 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 | text generation | Multilingual | 400,000 | 0 | large | openai |
| gemini-3.7-flash | text generation | Multilingual | 400,000 | 0 | large | openai | |
| groq | 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 | text generation | Multilingual | 400,000 | 0 | large | openai |
| openai | gpt-4o-mini | text generation | Multilingual | 400,000 | 0 | large | openai |
| openai | 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-6-luna | text generation | Multilingual | 1,050,000 | 0 | large | openai |
| openai | gpt-live-1 | speech to-speech | Multilingual | 400,000 | 0 | large | openai |
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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.
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 than GPT-4 across most benchmarks.
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.
GPT-4o is accessible through ChatGPT (free and paid tiers), the OpenAI API, and third-party inference providers. API access requires an OpenAI account with billing configured.
GPT-4o excels at multimodal tasks combining text, vision, and audio understanding, making it particularly strong for real-time voice applications and document analysis. It also performs well on coding, reasoning, and creative writing tasks.
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 across most benchmarks.
GPT-4o outperforms GPT-4 on most benchmarks while being faster and approximately 50% cheaper. Its native multimodal capabilities for vision and audio processing represent a significant upgrade over GPT-4's text-first architecture.
