GPT-4o (2024-08-06)
gpt-4o-2024-08-06The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/). GPT-4o ("o" for "omni") is... Built by OpenAI.
Prices updated
Input price
$2.50
per 1M tokens · Standard
Output price
$10
per 1M tokens · Standard
Input limit
128K
tokens
Output limit
16K
tokens
Input formats
Output formats
GPT-4o (2024-08-06) price history
2 price records since 9/25/2026
GPT-4o (2024-08-06) cost calculator
$100/month
Standard pricing
Overview
What is GPT-4o (2024-08-06)?
GPT-4o (2024-08-06) is a text & reasoning and vision model from OpenAI. The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/). GPT-4o ("o" for "omni") is... Its 128K context window and $2.50 input price make it a candidate for quality-focused production applications.
Benchmarks
GPT-4o (2024-08-06) benchmarks & speed
How GPT-4o (2024-08-06) scores on standardized evaluations, and where it lands among every model we track.
7.7
Intelligence Index
127tok/s
Output speed
Reasoning
GPQA Diamond
52.1%
Graduate-level scientific reasoning · top 87%
HLE
2.3%
Humanity's Last Exam · top 99%
Latency & design
- Time to first token
- 0.91s
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 (2024-08-06) pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$2.50
Per 1M tokens
Cached input · Standard
$1.25
Per 1M tokens
Capabilities
GPT-4o (2024-08-06) Tools
Tools available when using GPT-4o (2024-08-06) 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
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 7.7) 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
- Generated tokens cost 4× more than input tokens, which matters for verbose responses.
- 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