gpt-6-luna — API, Pricing & Context Window | Vivgrid
gpt-6-luna on Vivgrid: OpenAI's fast, low-cost gpt-6 model with a 1.05M-token context window for high-volume agent workloads.
gpt-6-luna is the fast, low-cost model in OpenAI's gpt-6 family. It keeps the generation's 1.05M-token context window and 128K-token max output at $0.10 per 1M input tokens, making it the cheapest way on Vivgrid to run long-context agents at scale.
On Vivgrid, gpt-6-luna is served through a single OpenAI-compatible endpoint with geo-distributed acceleration across AMER, EMEA, and APAC, reachable with the same unified key as the rest of the catalog. It is available on both Chat Completions (/chat/completions) and the Responses API (/responses).
Specifications
| Provider | OpenAI |
| Model ID | gpt-6-luna |
| Best for | General-purpose |
| Available on | Chat Completions |
| Context window | 1,050,000 tokens |
| Max output | 128,000 tokens |
| Modalities | Text, Image |
| Tool / function calling | Yes |
| Knowledge cutoff | 2026-05 |
| Acceleration | ⚡ Geo-Distributed — AMER, EMEA, APAC |
Pricing
Pricing in USD per 1M tokens, matching the provider's rates.
| Input | Cached input | Output |
|---|---|---|
| $0.10 | $0.01 | $0.50 |
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 | $0.00300 |
| Warm prompt, 90% of the input served from cache | $0.00138 |
Prompt caching is billed at $0.125 per 1M cache-write tokens, with cached reads at $0.01.
Requests beyond 272K input tokens are billed at the long-context rate: $0.20 input / $0.02 cached input / $0.25 cache write / $0.75 output per 1M tokens.
API surfaces
The Vivgrid Console catalogs gpt-6-luna 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-6-luna directly.
curl https://api.vivgrid.com/v1/chat/completions \
-H "Authorization: Bearer $VIVGRID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-6-luna",
"messages": [
{ "role": "user", "content": "Say hello in English, Chinese and Spanish." }
],
"stream": true
}'Choosing within the gpt-6 family
Prices are USD per 1M tokens at the base rate. Rows marked this page are the model described here.
| Model | Context | Max output | Input | Output |
|---|---|---|---|---|
gpt-6-astra | 1,050,000 | 128,000 | $10.00 | $50.00 |
gpt-6.1-sol | 1,050,000 | 128,000 | $2.00 | $10.00 |
gpt-6-sol | 1,050,000 | 128,000 | $2.00 | $10.00 |
gpt-6-luna — this page | 1,050,000 | 128,000 | $0.10 | $0.50 |
Ideal use cases
- High-volume agent and content pipelines where cost dominates
- Long-context retrieval, summarization, and classification
- Fast interactive assistants and chat products
- Fallback or draft model alongside gpt-6-sol / astra
Related models
- gpt-6.1-sol — the balanced gpt-6 model
- gpt-6-astra — the gpt-6 generation flagship
- gpt-5.6-luna — the prior-generation low-cost model
gpt-6-sol
Run OpenAI's gpt-6-sol on Vivgrid: the balanced gpt-6 model with a 1.05M-token context window, 128K max output, geo-distributed acceleration, and a unified API.
gpt-5.6-sol
Run OpenAI's gpt-5.6-sol on Vivgrid: the flagship gpt-5.6 coding model with a 1.05M-token context window, geo-distributed acceleration, and a unified API.