Models

gpt-5.5 — API, Pricing & Context Window | Vivgrid

Run OpenAI's gpt-5.5 on Vivgrid: a 1.05M-token flagship coding model for agents and CLIs, with geo-distributed acceleration and a unified API.

gpt-5.5 is OpenAI's flagship model and Vivgrid's top recommendation for coding agents. It pairs a 1.05M-token context window with strong multi-step reasoning, making it well suited for whole-repository refactors, long agent traces, and complex tool-calling workflows.

On Vivgrid, gpt-5.5 is served through a single OpenAI-compatible endpoint with geo-distributed acceleration across AMER and EMEA, so requests are routed to the nearest compute region for lower latency. You can switch your agent to gpt-5.5 from the Console without changing a line of application code.

Specifications

ProviderOpenAI
Model IDgpt-5.5
Best forCoding
Available onVibe coding
Context window1,050,000 tokens
Max output128,000 tokens
ModalitiesText, Image
Tool / function callingYes
Knowledge cutoff2025-12
Acceleration⚡ Geo-Distributed — AMER, EMEA

Pricing

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

InputCached inputOutput
$5.00$0.50$30.00

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$0.1600
Warm prompt, 90% of the input served from cache$0.0790

API surfaces

The Vivgrid Console catalogs gpt-5.5 on one surface, all behind the same API key. The endpoint shown is the one the Console previews for that surface.

SurfacePrimary endpointUse it for
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-5.5 directly.

curl https://api.vivgrid.com/v1/chat/completions \
  -H "Authorization: Bearer $VIVGRID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.5",
    "messages": [
      { "role": "user", "content": "Say hello in English, Chinese and Spanish." }
    ],
    "stream": true
  }'

Ideal use cases

  • Autonomous coding agents and CLI tools (Codex, OpenCode, Claude Code-style flows)
  • Large-context tasks: reading and editing entire codebases in one pass
  • High-stakes reasoning where output quality outweighs token cost
  • Multi-tool agents that chain function calls across long sessions

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