GPT-4o
OpenAI's flagship multimodal model — fast, intelligent, and versatile across text, vision, and voice with real-time responsiveness.
Overview
What is GPT-4o
GPT-4o is OpenAI's flagship multimodal AI model, released in May 2024. It processes text, images, and audio inputs, generates text outputs, and powers real-time conversational AI. With a 128K context window and strong multilingual reasoning, it's designed for high-intelligence tasks across diverse applications.
Running it privately on Venice
Running GPT-4o on Venice ensures your prompts are never stored or profiled — only anonymized metadata is retained. You access the same model OpenAI offers, but with privacy-first infrastructure: no training retention, no user tracking. This means enterprise-grade AI with zero prompt retention, ideal for sensitive workflows.
Assessment
Strengths and limitations
- Real-time responsiveness: audio response latency as low as 232ms, comparable to human conversation.
- Multimodal fluency: excels at vision and audio understanding, with strong cross-modal reasoning.
- High performance across languages: significant improvements in non-English text tasks over prior models.
- Efficient and fast: 50% cheaper than GPT-4 Turbo in API costs while matching its English and code performance.
- Not open-source or self-hostable: fully proprietary with no open weights available.
- No end-to-end encryption or TEE protection on Venice — privacy is anonymized, not encrypted in transit or at rest.
- Video input and output not supported despite 'omni' branding — currently limited to image input and text output.
Capabilities
What it supports
- Tool use / function calling
- Vision (image input)
- Reasoning
- Web search
- Code-optimized
- Structured output (JSON schema)
- Audio input
- Video input
- Multiple image inputs
- Log probabilities
Specifications
Datasheet
- Maker
- OpenAI
- Released
- May 13, 2024
- Architecture
- Autoregressive omni model (end-to-end trained)
- Parameters
- Not publicly disclosed
- Open weights
- No — proprietary
- Context window
- 128K tokens
- Max output
- 16.384K tokens
- Capabilities
- Vision, Function calling, Web search
- Privacy on Venice
- Anonymized — prompts not stored
- Available on Venice since
- Feb 2026
- License
- Proprietary
API
Call it from your code
Venice exposes an OpenAI-compatible API. Point your base URL at Venice and pass the model id.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai-gpt-4o-2024-11-20",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Pricing
What it costs on Venice
Billed per token on Venice: $3.13 per 1M input tokens and $12.50 per 1M output tokens.
New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.
Alternatives
How it compares
| Model | Best for | Context window | Price (Venice) | Open weights | Strengths |
|---|---|---|---|---|---|
| GPT-4o | The balanced flagship — strong across text, vision, and real-time use. | 128K tokens | $3.13 in · $12.50 out / 1M | No | Low-latency chat, vision, multilingual |
| Claude Opus 5 | Higher cost but superior for complex, multi-step reasoning. | 1M tokens | $6 in · $30 out / 1M | No | Long-context reasoning, agentic tasks |
| DeepSeek V4 Flash 0731 | Ultra-low cost for high-volume, low-latency workloads. | 1M tokens | $0.17 in · $0.35 out / 1M | No | Speed, cost efficiency |
| Google Gemma 4 31B Instruct | Best for developers wanting open, auditable models at low cost. | 256K tokens | $0.12 in · $0.36 out / 1M | Yes | Open weights, affordability |
The balanced flagship — strong across text, vision, and real-time use.
Use cases
What it is good for
- 01Real-time customer service agents with voice and image understanding.
- 02Multilingual translation and education tools using image and text inputs.
- 03AI assistants that analyze screenshots, documents, or product photos.
- 04Low-latency chatbots for conversational applications requiring quick responses.
- 05Structured data extraction from visual documents like forms and receipts.
Prompting
Getting better results
Use clear, specific image descriptions when uploading visuals to improve accuracy.
Leverage function calling for structured outputs — GPT-4o supports JSON schema and tool use reliably.
For multilingual tasks, specify the target language explicitly to maximize quality.
Version history
Predecessor model with text-only input.
Improved efficiency and knowledge cutoff.
Current — adds vision, audio, real-time performance.
FAQ
Frequently asked questions
GPT-4o is OpenAI's flagship multimodal AI model, released in May 2024. It accepts text and image inputs, generates text outputs, and supports real-time audio interactions. It's optimized for speed, intelligence, and versatility across languages and modalities.
On Venice, GPT-4o costs $3.13 per 1 million input tokens and $12.50 per 1 million output tokens. Pricing is usage-based with no subscription required.
No, GPT-4o is a proprietary model developed by OpenAI. It is not open-source, cannot be self-hosted, and requires payment for API access. There is no free tier for commercial use.
Yes, GPT-4o supports image input and can analyze and reason over visual content. It can interpret charts, documents, and photos, making it ideal for multimodal applications.
Yes, GPT-4o supports tool use and function calling, allowing it to integrate with external systems, return structured JSON outputs, and perform actions based on user requests.
GPT-4o has a 128,000-token context window, allowing it to process long documents, conversations, and complex inputs in a single prompt.
GPT-4o excels in low-latency chat and multimodal tasks, while Claude Opus 5 leads in long-context reasoning and agentic workflows. Choose GPT-4o for real-time interaction, Opus for deep analysis.
Yes. On Venice, GPT-4o runs under an anonymized privacy tier — your prompts are not stored, used for training, or tied to your identity, ensuring private, compliant usage.
Yes, GPT-4o supports web search capabilities when enabled, allowing it to retrieve and reference up-to-date information from the internet during responses.
Run GPT-4o privately
No prompt logging. No data used for training.