GPT-4o
Pricing & Specs
OpenAI · $2.5 input / $10 output per 1M tokens · 128K context window
The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on GPT-4o costs about $0.0075 — roughly $7.50 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.
GPT-4o API Pricing
| Tokens | Price |
|---|---|
| Input | $2.5 / 1M tokens |
| Output | $10 / 1M tokens |
| Cached input | $1.25 / 1M tokens |
Cached input tokens are billed when caching is enabled. Batch API pricing is available for this model at 50%.
What that means in practice
GPT-4o Specs
| Spec | Value |
|---|---|
| Context window | 128K tokens |
| Input modalities | text, image |
| Output modalities | text |
| Latency (measured by OpenMark) | ~480ms median response |
| Reasoning model | No |
| Tool / function calling | Yes |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | Yes |
| Batch API | Yes |
Capabilities
FAQ
How much does GPT-4o cost?
GPT-4o costs $2.5 per 1M input tokens and $10 per 1M output tokens ($1.25 per 1M cached input tokens).
What is GPT-4o's context window?
GPT-4o has a 128K-token context window.
Can I test GPT-4o on my own task?
Yes. OpenMark lets you benchmark GPT-4o against 100+ models on your own task with real API calls — no API keys needed, free tier available.
Is GPT-4o the right model for YOUR task?
Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload — real API calls, real costs. Free tier available.