Multimodal GPT-4o "omni" model for text and image input. 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 price history
12 price records since 4/1/2026 · 10 changes
GPT-4o cost calculator
Overview
What is GPT-4o?
GPT-4o is a text & reasoning and vision model from OpenAI. Multimodal GPT-4o "omni" model for text and image input. Its 128K context window and $2.50 input price make it a candidate for quality-focused production applications.
Benchmarks
GPT-4o benchmarks & speed
How GPT-4o scores on standardized evaluations, and where it lands among every model we track.
8.4
Intelligence Index
145tok/s
Output speed
864
DesignArena Elo
Reasoning
GPQA Diamond
54.3%
Graduate-level scientific reasoning · top 85%
HLE
2.4%
Humanity's Last Exam · top 99%
Latency & design
- Time to first token
- 0.84s
- DesignArena win rate
- 34.8%
- Design battles judged
- 1,780
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
GPT-4o 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 Tools
Tools available when using GPT-4o 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
Where to run it
GPT-4o API providers
2 providers serve GPT-4o. Prices are per 1M tokens; uptime is the last 24 hours.
| Provider | Input | Output | Cached | Context | Uptime |
|---|---|---|---|---|---|
| Azure | $2.50 | $10 | — | 128K | 99.91% |
| OpenAI | $2.50 | $10 | $1.25 | 128K | 99.77% |
- Input
- $2.50
- Output
- $10
- Cached
- —
- Context
- 128K
- Uptime
- 99.91%
- Input
- $2.50
- Output
- $10
- Cached
- $1.25
- Context
- 128K
- Uptime
- 99.77%
Strengths and limitations
Strengths
- Measured results (AA Intelligence 8.4 · DesignArena Elo 864 · Arena Elo 1178 · MMLU-Pro 69.9%) 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.
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Peer set
