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

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

Pricing

Pricing in USD per 1M tokens, matching the provider's rates.

Quick start

Call gpt-6-sol through Vivgrid's unified, OpenAI-compatible endpoint. Get an API key from the Vivgrid Console.

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
  }'

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.

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

Related models

• gpt-6-astra — the gpt-6 generation flagship
• gpt-6-luna — the fast, low-cost gpt-6 model
• gpt-5.6-terra — the balanced gpt-5.6 model