Models

gpt-5.6-terra — API, Pricing & Context Window | Vivgrid

gpt-5.6-terra on Vivgrid: OpenAI's balanced gpt-5.6 model with a 1.05M-token context window, strong coding, and geo-distributed acceleration.

gpt-5.6-terra is the balanced model in OpenAI's gpt-5.6 family and the successor to gpt-5.4, delivering most of gpt-5.6-sol's coding and reasoning quality at half the price. Its 1.05M-token context window makes it a strong default for production agents. For new projects, gpt-6.1-terra is the latest terra release, at under half the input and output price.

On Vivgrid, gpt-5.6-terra is served through a single OpenAI-compatible endpoint with geo-distributed acceleration across AMER and EMEA, reachable with the same unified key as the rest of the catalog.

Specifications

ProviderOpenAI
Model IDgpt-5.6-terra
Best forCoding
Available onChat Completions, Vibe coding
Context window1,050,000 tokens
Max output128,000 tokens
ModalitiesText, Image
Tool / function callingYes
Knowledge cutoff2026-03
Acceleration⚡ Geo-Distributed — AMER, EMEA

Pricing

Pricing in USD per 1M tokens.

InputCached inputOutput
$2.50$0.25$15.00

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.

RequestCost
Cold prompt, nothing cached$0.0800
Warm prompt, 90% of the input served from cache$0.0395

Requests beyond 272K input tokens are billed at the long-context rate: $5.00 input / $0.50 cached input / $22.50 output per 1M tokens.

API surfaces

The Vivgrid Console catalogs gpt-5.6-terra on 2 surfaces, all behind the same API key. The endpoint shown is the one the Console previews for that surface.

SurfacePrimary endpointUse it for
Chat Completions/chat/completionsAgent projects, where Vivgrid injects the model, system prompt and tools server-side, and Model API calls that name the model per request.
Vibe coding/chat/completionsCoding CLIs and IDE agents that drive the model themselves — point the tool at Vivgrid and keep your own loop.

Quick start

Get an API key from the Vivgrid Console, then call gpt-5.6-terra directly.

curl https://api.vivgrid.com/v1/chat/completions \
  -H "Authorization: Bearer $VIVGRID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.6-terra",
    "messages": [
      { "role": "user", "content": "Say hello in English, Chinese and Spanish." }
    ],
    "stream": true
  }'

Ideal use cases

  • Production coding agents balancing quality, speed, and cost
  • Whole-repository analysis within a 1.05M-token context
  • High-volume tool-calling workflows on Chat Completions
  • Teams standardizing on one model across coding and agent tasks
  • gpt-6.1-terra — the next terra release, on the gpt-6 generation at under half the input and output price
  • gpt-5.6-sol — the flagship gpt-5.6 model
  • gpt-5.6-luna — the fast, low-cost gpt-5.6 model

On this page