gpt-4o — API, Pricing & Context Window | Vivgrid
gpt-4o on Vivgrid: OpenAI's multimodal GPT-4o with a 128K context window and image input, accessible through one unified API key.
gpt-4o is OpenAI's widely adopted multimodal GPT-4-class model, balancing quality, speed, and cost across text and image inputs. With a 128K-token context window, it powers a huge range of production assistants.
On Vivgrid, gpt-4o is available through the same OpenAI-compatible endpoint as newer models, making it easy to keep existing apps running or migrate gradually to GPT-5.
Specifications
| Provider | OpenAI |
| Model ID | gpt-4o |
| Best for | General-purpose |
| Available on | Chat Completions |
| Context window | 128,000 tokens |
| Modalities | Text, Image |
| Tool / function calling | Yes |
| Knowledge cutoff | 2023-09 |
| Acceleration | 🌐 Global (Centralized) |
Pricing
Pricing in USD per 1M tokens, matching the provider's rates.
| Input | Cached input | Output |
|---|---|---|
| $2.50 | $1.25 | $10.00 |
What one request costs
The rates above applied to a 20K-token prompt with a 2K-token reply — a typical single agent turn, small enough that every request is billed at the base rate.
| Request | Cost |
|---|---|
| Cold prompt, nothing cached | $0.0700 |
| Warm prompt, 90% of the input served from cache | $0.0475 |
API surfaces
The Vivgrid Console catalogs gpt-4o on one surface, all behind the same API key. The endpoint shown is the one the Console previews for that surface.
| Surface | Primary endpoint | Use it for |
|---|---|---|
| Chat Completions | /chat/completions | Agent projects, where Vivgrid injects the model, system prompt and tools server-side, and Model API calls that name the model per request. |
Quick start
Get an API key from the Vivgrid Console, then call gpt-4o directly.
curl https://api.vivgrid.com/v1/chat/completions \
-H "Authorization: Bearer $VIVGRID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4o",
"messages": [
{ "role": "user", "content": "Say hello in English, Chinese and Spanish." }
],
"stream": true
}'Ideal use cases
- Established multimodal chat and assistant apps
- Text and image understanding tasks
- Broadly compatible production workloads
- A baseline for comparing against newer GPT-5 models
Related models
- gpt-6-astra — the gpt-6 generation flagship
- gpt-6.1-sol — balanced current-generation model
- gpt-5.6-luna — low-cost modern alternative