Models

gpt-6-sol — API, Pricing & Context Window | Vivgrid

Run OpenAI's gpt-6-sol on Vivgrid: the balanced gpt-6 model with a 1.05M-token context window, 128K max output, and geo-distributed acceleration.

gpt-6-sol is the balanced model in OpenAI's gpt-6 family, sitting below the flagship gpt-6-astra. It keeps the generation's 1.05M-token context window and 128K-token max output at a fifth of astra's per-token price, making it a practical default for production coding agents.

On Vivgrid, gpt-6-sol is served through a single OpenAI-compatible endpoint with geo-distributed acceleration across AMER, EMEA, and APAC, so requests are routed to the nearest compute region for lower latency. You can switch your agent to gpt-6-sol from the Console without changing a line of application code.

It is available on both OpenAI surfaces — Chat Completions (/chat/completions) and the Responses API (/responses) — so coding CLIs that expect the Responses wire format, such as Codex and Pi, work against the same key.

Specifications

ProviderOpenAI
Model IDgpt-6-sol
Best forCoding
Available onChat Completions, Vibe coding
Context window1,050,000 tokens
Max output128,000 tokens
ModalitiesText, Image
Tool / function callingYes
Knowledge cutoff2026-04
Acceleration⚡ Geo-Distributed — AMER, EMEA, APAC

Pricing

Pricing in USD per 1M tokens.

InputCached inputOutput
$2.00$0.20$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.

RequestCost
Cold prompt, nothing cached$0.0600
Warm prompt, 90% of the input served from cache$0.0276

Prompt caching is billed at $2.50 per 1M cache-write tokens, with cached reads at $0.20.

Requests beyond 272K input tokens are billed at the long-context rate: $4.00 input / $0.40 cached input / $5.00 cache write / $15.00 output per 1M tokens.

API surfaces

The Vivgrid Console catalogs gpt-6-sol 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.
Vibe coding/responsesCoding 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-6-sol directly.

/chat/completions

curl https://api.vivgrid.com/v1/chat/completions \
  -H "Authorization: Bearer $VIVGRID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-6-sol",
    "messages": [
      { "role": "user", "content": "Say hello in English, Chinese and Spanish." }
    ],
    "stream": true
  }'

/responses

curl https://api.vivgrid.com/v1/responses \
  -H "Authorization: Bearer $VIVGRID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-6-sol",
    "input": "Refactor this function and explain the change.",
    "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.

ModelContextMax outputInputOutput
gpt-6-astra1,050,000128,000$10.00$50.00
gpt-6.1-sol1,050,000128,000$2.00$10.00
gpt-6-sol — this page1,050,000128,000$2.00$10.00
gpt-6.1-terra1,050,000128,000$1.10$5.50
gpt-6-luna1,050,000128,000$0.10$0.50

Ideal use cases

  • Production coding agents balancing quality, speed, and cost
  • Coding CLIs on the Responses API (Codex, Pi, OpenCode)
  • Whole-repository analysis within a 1.05M-token context
  • High-volume tool-calling workflows that outgrow a small model

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