GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as... Built by OpenAI.
Prices updated
Input price
$5.00
per 1M tokens · Standard
Output price
$15
per 1M tokens · Standard
Input limit
128K
tokens
Output limit
4K
tokens
Input formats
Output formats
GPT-4o (2024-05-13) price history
2 price records since 9/25/2026
GPT-4o (2024-05-13) cost calculator
$175/month
Standard pricing
Overview
What is GPT-4o (2024-05-13)?
GPT-4o (2024-05-13) is a text & reasoning and vision model from OpenAI. GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as... Its 128K context window and $5.00 input price make it a candidate for quality-focused production applications.
Benchmarks
GPT-4o (2024-05-13) benchmarks & speed
How GPT-4o (2024-05-13) scores on standardized evaluations, and where it lands among every model we track.
7.3
Intelligence Index
137tok/s
Output speed
Reasoning
GPQA Diamond
52.6%
Graduate-level scientific reasoning · top 86%
HLE
1.8%
Humanity's Last Exam · top 100%
Latency & design
- Time to first token
- 0.98s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
GPT-4o (2024-05-13) pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$5.00
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
GPT-4o (2024-05-13) Tools
Tools available when using GPT-4o (2024-05-13) through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Not supported
Built-in web search
Supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 7.3) position it for demanding production work.
- A 128K context window covers most focused application workflows.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- The 128K context window is smaller than several long-context alternatives.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider
